Mobile wearable monitoring system

Abstract

A series of inventions are described herein, including one or more wearable devices (i.e., systems that are attached or applied to a limb, torso, head, or other body region, as well as systems suitable for implantation or physiological attachment). These systems have a means for diagnostic or prognostic monitoring suitable for monitoring relevant parameters and corresponding analysis determination and characterization suitable for the occurrence or detection of events or health conditions of interest. One application involves sleep monitoring and associated EEG sensors.

Description

Technical Field

[0001] This invention relates to a monitoring system, and more particularly to a mobile wearable monitoring system. Background Technology

[0002] Human circadian rhythms are an endogenous (self-sustaining or "built-in") biological process with physiological oscillations (rhythms) that can be converted approximately 24 hours a day.

[0003] A typical biological clock can be represented by the following 24-hour cycle sequence:

[0004] 00:00 Midnight - Start of Sleep Period

[0005] 02:00 - Deep sleep period

[0006] 04:30 - Lowest body temperature

[0007] 06:45 - Blood pressure experienced the fastest increase under stress.

[0008] 07:30 - Melatonin secretion stops

[0009] 08:30 - Possibly defecating

[0010] 08:30 - Testosterone secretion is at its peak

[0011] 09:00 - Possible bowel movement

[0012] 10:00 - Peak alertness

[0013] 12:00 noon

[0014] 14:30 - Coordination Surplus

[0015] 15:30 - Reaction time is most sensitive

[0016] 17:00 - Maximum cardiovascular efficacy

[0017] 18:30 - Peak blood pressure

[0018] 19:00 - Peak body temperature

[0019] 21:00 - Melatonin secretion begins

[0020] 22:30 - Suppress bowel movements

[0021] 00:00 Midnight - Start of Sleep Period

[0022] 02:00 - Repeat the typical day-night cycle described above.

[0023] The biological clock cycle includes the following three aspects:

[0024] 1. A free-running cycle of approximately 24 hours (referred to as tau or the Greek letter "τ");

[0025] 2. Transitional characteristics (transitions) can be reset or adapted through exposure to external stimuli, such as changes in light or temperature. An example of a person's biological clock transitioning or adjusting is when they experience an unexpected or unforeseen sleep urge caused by jet lag or other disruptions to their traditional sleep habits. For instance, a person's biological clock (circadian rhythm or rhythm) may not yet be adjusted or synchronized with local time or their current regular sleep / wake cycle. This could occur after international travel, crossing different time zones, adjusting during or after a shift, or due to required study or other events requiring an all-nighter.

[0026] 3. The "temperature compensation" characteristic means that it can withstand dynamic changes (the temperature and thermal energy of molecular processes in cells vary). 1 The body maintains a certain level of circulation within its physiological temperature range.

[0027] The biological clock has a profound impact on metabolism, general health, and sleep / wake regulation.

[0028] The link between shift work and metabolic diseases has been proven. 2 ;

[0029] Studies have linked sleep duration and circadian rhythm disorders to a variety of diseases, such as type 2 diabetes, cancer, and gastrointestinal disorders. 2 ;

[0030] Returning to work after a holiday (e.g., changing sleep patterns on weekends is associated with weight gain) 2 ;

[0031] The biological clock regulates energy balance in the body, and its disruption, similar to jet lag after a holiday, can lead to weight-related pathologies. 2 ; Circadian rhythm factors play a significant role in sleep volume; that is, sleep length does not depend on homeostatic sleep factors, but rather on whether you sleep according to your own circadian sleep cycle (i.e., the circadian sleep cycle factor is higher than the sleep homeostasis factor (sleep impulses)). 2 More dominant;

[0032] Therefore, from a practical or productivity perspective, understanding and guiding the interactions and relationships between an individual's homeostasis and circadian rhythms can be an important aspect. This is because achieving high-quality sleep requires a significant amount of time spent awake, and regular sleep and rise times are crucial for achieving stable sleep cycles (i.e., more sleep time or more sleep does not necessarily mean better sleep quality, but working against your biological clock can make the most efficient use of sleep time). 2 .

[0033] Based on previous wakefulness, the accumulation of homeostatic sleep factors—that is, homeostatic factors (sleep impulses)—increases your waking time. Therefore, this factor is considered crucial for sleep quality. For example, it is accompanied by increased slow-wave EEG activity. 2 The longer you stay awake, the deeper the following sleep stages will be;

[0034] In contrast, circadian rhythms play a significant role in sleep volume. For example, the duration of sleep largely depends on when you go to sleep.

[0035] The importance of sleep

[0036] Quality sleep is crucial for health, happiness, lifestyle, and indeed, every aspect of life.

[0037] The most harmful effects of sleep deprivation stem from insufficient sleep.

[0038] • During deep sleep, the body repairs itself and restores the energy from the previous day.

[0039] The quality of sleep time is more important than the number of hours spent in bed.

[0040] Sleep consists of different stages, and each stage of the sleep cycle provides different benefits.

[0041] Deep sleep (N3 level) and REM sleep are the most important stages of sleep.

[0042] For normal adults, about 50% of total sleep time is spent in stage 2 sleep, 20% in REM sleep, and 30% in the remaining stages, including deep sleep.

[0043] Sleep deprivation is the difference between the amount of sleep you get and the amount you need.

[0044] Sacrificing sleep increases your sleep deprivation.

[0045] Ultimately, sleep deprivation must be "paid off" to rebalance the "sleep account".

[0046] Sleep deprivation during the day can lead to sleep apnea, resulting in decreased attention span. This decreased attention span can be caused by factors such as transportation accidents, medical errors, falls, and other mistakes, accidents, and safety hazards.

[0047] Traditional wrist-based monitoring systems cannot provide reliable or effective sleep monitoring; instead, monitoring of the brain, muscle tone, and eyes is required.

[0048] Insufficient deep sleep can negatively impact metabolism and weight, memory recall, energy levels, occupational risks, the immune system (including the body's ability to suppress dangerous cells and even fight cancer), and our overall health and quality of life.

[0049] In children, poor sleep quality is associated with low IQ and behavioral disorders, while in women with sleep disorders, the health and even life of the unborn fetus are at risk of serious impairments such as high blood pressure or preeclampsia.

[0050] Sleep deprivation can lead to a bad mood, impatience, restlessness, lack of concentration, feeling tired or fatigued, and general apathy.

[0051] Sleep disorders have been shown to be associated with cardiovascular health, such as elevated stress hormone levels, high blood pressure, irregular heartbeat, and congestive heart failure.

[0052] In terms of comorbidities of sleep disorders, most patients with drug-resistant hypertension[1], obesity[2], congestive heart failure[3], type 2 diabetes[4], stroke and transient ischemic attack[5] also have sleep-breathing disorders.

[0053] Problems with traditional consumer-grade health monitors

[0054] • Quality or healthy sleep depends on sufficient deep sleep and (REM) rapid eye movement sleep (aka dream sleep), not just the length of time you sleep.

[0055] Other consumer monitoring devices, such as Fitbit's, are "not reliable devices for estimating sleep patterns and sleep quality, significantly overestimating wakefulness and underestimating sleep efficiency." 8 .

[0056] Previous attempts, such as ZEO, relied on unreliable and uncomfortable headband pressure sensors and unverified metrics.

[0057] Traditional health trackers claim to monitor sleep and track sleep quality, but simply put, this cannot be achieved without monitoring the brain, muscles, and eyes.

[0058] Without regular deep sleep and REM sleep tracking, we cannot track the consistency or lasting effects of sleep quality.

[0059] Furthermore, without user-friendly and simplified consumer-accessible sleep tracking, the average consumer typically cannot reliably access or manage their personalized sleep, and arguably, their quality of life.

[0060] Without effective sleep quality monitoring, we know very little about sleep quality, let alone its impact on daytime performance, mood, occupational risks, and overall lifestyle and health.

[0061] Without effective sleep quality monitoring, we cannot effectively track our individual sleep deprivation, sleep depth, or daytime sleep breathing, let alone understand the relevant risks to ourselves and others.

[0062] Without effective sleep quality monitoring, we cannot track the causes and effects of preventable sleep disorders, such as environmental noise or other factors.

[0063] Without effective sleep quality monitoring, we may miss early symptoms of sleep disorders that could have been reported to our doctors for early intervention to avoid more serious health conditions.

[0064] Without effective sleep quality monitoring, we cannot track the causes and effects of changes in sleep quality with age, sleep environment, health status, and stress.

[0065] Doppler ultrasound and general ultrasound are important vascular and cardiac measurement techniques that can help diagnose or predict a large number of adverse and potentially fatal health consequences.

[0066] However, current existing monitoring systems have many limitations, particularly in their applicability to continuous monitoring under a range of real-world activities, environments, and psychological and physiological stress conditions.

[0067] Parkinson's

[0068] In the United States, Parkinson's disease affects up to 2% of the population, making it the most common neurodegenerative disease. In Australia, the disease affects approximately 80,000 people, with about one-fifth diagnosed before the age of 50. This degenerative brain disease often affects physical movement and speech.

[0069] More than 1.5 million people in the United States are believed to have Parkinson's disease, with 70,000 new cases diagnosed each year, and the annual economic burden of PD alone is estimated at $23 billion.

[0070] eHealthMEDICS, as a health monitoring platform, includes a suite of essential health management systems to address the growing global burden of disease in the most effective way, and to deploy consumer-focused healthcare models and lifestyle platforms.

[0071] A key feature for consumers and professional medical or scientific patients is the new Parkinson's monitoring system, which can be integrated into the eHealthMEDICS healthcare platform worldwide.

[0072] Early detection of Parkinson's disease allows for early treatment, such as medication, surgery, and deep brain stimulation, which may slow or even prevent the progression of more severe Parkinson's disease.

[0073] Primary REM sleep behavior disorder can lead to early detection of Parkinson's disease.

[0074] However, the diagnosis of primary REM behavioral disorder (RBD), or in other words, testing for RBD in the absence of any other means (except the possibility of Parkinson's disease), is a valuable marker of early-onset Parkinson's disease and therefore a precious opportunity to prevent the condition from progressing more severely—that is, to change lives or even save lives.

[0075] Autism Spectrum Disorder (ASD)

[0076] Autism spectrum disorder (ASD) is a neurodevelopmental disorder of unknown etiology, characterized by a range of social and communication impairments. ASD is reportedly highly heritable, affecting 1 in 88 children and 1 in 54 males. Reports of increasing childhood prevalence indicate a need for better surveillance, tracking, and management of this disorder.

[0077] While existing diagnostic monitoring systems and services do play an important role, the methods or devices of these existing technologies are often too expensive, cumbersome, or limited in terms of population accessibility.

[0078] Including more accessible and routinely available personal assistive monitoring instruments suitable for normal life at any time and place, which can help with greater timeliness and improve the management of some frail or mild “disabilities”.

[0079] - These "barriers" include "health conditions of interest" or "events of interest / EOIs" (as defined in the abbreviation table later in this document);

[0080] The more readily available, affordable, and ubiquitous health tracking and management technologies described in this invention can help improve prognosis, diagnosis, prevention, risk mitigation, and most importantly, put control in the hands of those who care most about each individual's health.

[0081] epilepsy

[0082] Epilepsy, or "seizure disorder," is the fourth most common neurological disorder, affecting people of all ages.

[0083] The human brain is the root cause of all human epilepsy.

[0084] • Seizures and epilepsy can also affect a person's safety, relationships, work, driving, and lifestyle.

[0085] • How to treat patients with perception (characteristics) or epilepsy may be a bigger question than the seizures themselves.

[0086] There are 65 million people with epilepsy worldwide, and four to ten out of every thousand living people will experience seizures.

[0087] In the United States, more than 2 million people suffer from epilepsy, and one in 26 of them will experience a seizure at any time in their lives.

[0088] • 150,000 new cases of epilepsy are diagnosed in the United States each year.

[0089] One-third of people with epilepsy live with uncontrollable seizures because there are no available treatments.

[0090] • The cause of death was unknown in 6 out of 10 patients with epilepsy. 23

[0091] Epilepsy can be treated with medication and can be relieved through more chronic procedures such as surgery or stimulation devices.

[0092] Existing technology for consumer sleep monitoring:

[0093] Examples of other problems with consumer mobile wireless or wearable monitoring systems in the same field include individuals wearing health tracking systems that claim to track sleep and even sleep quality, but these so-called sleep monitors are actually based on motion detection, often from simple watches or wrist-based devices. Given that the most important stages of sleep are based on deep sleep, most importantly REM sleep, which are indeed complex brain-controlled states, it's undeniable that, generally speaking, the user experience associated with consumer-level sleep tracking systems is unsatisfactory and often misleading. The concept of detecting REM or even deep sleep via a wristband, the fundamental attributes of quality or recovery, is highly controversial under optimal conditions and detrimental to health tracking in terms of fitness. The premise of monitoring basic sleep parameters (such as EEG, EMG, and EOG) with the possibility of bypassing them using wrist-mounted activity sensors may prevent future debates about truly accurate or useful consumer-level monitoring and related health management.

[0094] Ideally, patients with a disease or condition should be able to benefit from early onset warnings, notifications, early predictions of events or conditions for early and remote intervention when needed, online remote or local sensor and / or monitoring systems and / or signal conditioning interventions, biofeedback therapy control, guided and / or automated customized medication and / or dosage and / or medication delivery and / or medication dispensing, online interventions, predictions and warnings for individuals associated with events of interest, including biomarkers of interest and / or “health conditions or symptoms of interest” or “events of interest / EOIs”, and individual events and / or sets (clusters) (as detailed in the “EOI definition” in the abbreviations later in this document).

[0095] Priority technologies, compared to existing technologies, typically require clinical diagnosis for epilepsy patients. This may involve complex monitoring for one or more days to enable medical experts to diagnose the condition and, if possible, the specific source or type of epilepsy. Due to the cost and complexity of epilepsy monitoring and source localization systems, comprehensive diagnosis for all epilepsy patients is challenging, not readily available, or unaffordable. Furthermore, neurological, neurological, or motor “disorders” such as epilepsy, Parkinson’s disease, Alzheimer’s disease, autism, and depression are often infrequent, making it difficult to establish a consumer-based monitoring approach with diagnostic clinical outcomes and professional supervision or intervention. This approach could compare patients who are appropriately diagnosed and treated with those who are consistently undiagnosed or misdiagnosed.

[0096] Traditional health and fitness tracking systems, or even specialized health or scientific monitoring systems, have failed to achieve both simple and effective monitoring of complex physiological aspects of health management, particularly the function of early treatment intervention and early detection of conditions that lead to more harmful, serious, or even potentially fatal health conditions. Furthermore, previous technological levels have failed to detect more complex phenomena, such as physiological strokes.

[0097] ASD, ASP, and other neurodevelopmental or neurological disorders

[0098] According to reports, the prevalence of autism among children has recently increased to 1 in 100 children.

[0099] Whether Asperger's syndrome (ASP) should be defined as autism spectrum disorder (ASD) remains a subject of ongoing research. Furthermore, the increasing prevalence of ASD and the need for non-invasive monitoring methods, such as EEG, as well as the ability to differentiate the neurophysiological differences between ASD and ASP, remain major technological mysteries.

[0100] It has been reported that the incidence of epileptiform electroencephalograms (EEGs) is higher in children with autism spectrum disorder (ASD) without seizures than in patients without ASD (10-50%).

[0101] ASD is a neurodevelopmental disorder whose cause remains a mystery. Behavioral dysfunction associated with this disorder is characterized by social and communication deficits, as well as the presence of restricted interests or repetitive behaviors. An increased prevalence of ASD has been reported in the population ranging from 5% to 46%.

[0102] Recently, it has become increasingly clear that subtle EEG biomarkers, some of which were previously only obtainable through more invasive methods, are now available. However, these subtle EEG measurements often utilize complex, diffuse, and often barely perceptible signals in the deep cortex or tiny areas during routine monitoring.

[0103] Entropy analysis of ER signals in the nervous system has been shown to be a marker of anesthesia depth and can provide a useful tool for brain analysis (Burton et al., 2005-2010).

[0104] In particular, nonlinear dynamics (NLDB) analysis, such as entropy source localization techniques combined with fast averaging techniques (including autoregressive modeling with exogenous inputs; ARX), provides a method for progressively tracking changes to distinguish between deterministic or predictable neural generators. Summary of the Invention

[0105] This application describes inventions for collecting, monitoring, and analyzing data from various subjects (consumers / patients), including any one or any combination of the following:

[0106] This application provides numerous methods and apparatus inventions that, in conjunction with or implementing communication interfaces (including one or more wearable devices or connectivity options such as WWW, IP, LAN, WAN, auxiliary / accompanying monitoring / sensing or computing systems, SaaS, including cloud computing services or NAS, peer-to-peer connections, etc.), sense, monitor, track, store, and / or analyze a subject's physiological parameters, pathological conditions, psychological states, sleep, activity, fitness, health status, other states of consciousness, relevant transitions, and / or neurological parameters. Options include: automatically determining the occurrence or incidence of health conditions / symptoms or related events; characterizing and measuring clusters or sets of data by combining processing power or combinations (i.e., multivariate analysis) or applicable to any or any combination of the following.

[0107] a) A wearable sleep, fitness, health, and consciousness monitoring device for patients (Somfit);

[0108] b) Includes an active electronic module that is interchangeable or replaceable at the wrist and forehead. Figure 1 The forehead-applied sensor system of the RHS ([1], [7]) has a display function option (for any sleep measurement and / or health tracking measure) (Somfit);

[0109] c) The ability to continuously transmit sleep parameter information enables the reconstruction of time-series data spanning 20 or 30 seconds, facilitating online sleep classification based on these continuous epochal periods. Monitored sleep parameter data ( Figure 1 LHS ([1]) can transmit data to assistive wearable devices for sleep status display purposes, such as smartwatches. Figure 1 RHS UPPER, [5]), connected mobile devices, clocks or other devices, etc. Monitored sleep parameter data ( Figure 1 LHS, [1]) can also be transferred to additional communication networks, systems or other interconnection options (such as WWW, IP, LAN, WAN, auxiliary / companion monitoring / sensing or computing systems, SAAS including cloud computing services or NAS, peer-to-peer connections, etc.) to enable personalized or remote tracking, reporting or monitoring or individual sleep and related results.

[0110] d) In the first application of the forehead monitoring system and the second information indicator (computer-based watch system, mobile device, clock, with such...) Figure 1 LHS[8] or

[10] or Figure 1 Automatic data exchange between the RHS[5] indicator bracelets is possible, thereby allowing users / patients to track sleep progress at any stage of sleep and also as a means of tracking sleep deprivation or sleep quality (based on previous sleep or wakefulness measurements and / or circadian cycle offset factors).

[0111] e) The parameters monitored and exchanged may include sleep, health and fitness measurements and indicator display capabilities, including the ability to monitor one or more light-detected and applied frontal electrophysiological sleep parameters (EEG, EOG and EMG), and measures or related indices including (but not limited to) sleep efficiency (SE), wake-up after falling asleep (WASO).

[0112] f) Sensing, monitoring, and analyzing any or any combination of wakefulness and sleep events, measures, states, or related health and environmental conditions.

[0113] g) One electronic component of a wearable monitoring system (i.e., in the case of interchangeable modules for daytime activity and nighttime sleep monitoring) or multiple electronic components of a wearable monitoring system (i.e., in the case of individual modules, such as a wrist device containing individual modules or other microprocessor-based watches containing daytime activity and other health tracking and / or monitoring functions, such as interchangeable modules containing daytime activity and nighttime sleep monitoring) can be deployed to provide daytime activity and health monitoring and tracking, as well as nighttime balanced sleep monitoring functions, as part of an overall wake-up / sleep health monitoring and tracking system;

[0114] h) the “electronic components of the wearable monitoring system” Figure 1 LHS UPPER, [1] and

[10] ) or Figure 1 LHSLOWER, [2] or Figure 1 RHS UPPER, [1] and [7]) may include an electronic module containing one or more of the following functions: physiological monitoring, analysis of monitored physiological parameters, storage of monitored physiological parameters, means of interconnecting information flows, and health measures or health status indications, including sleep / wake information and / or activity information (i.e., movement, motions, steps, activities, etc.) and / or other health information.

[0115] i) The “electronic module” (Somfit) is a device that can be interchanged between multiple wearable health or environmental monitoring devices (e.g., any combination or combination of magnetic, mechanical and / or interlocking).

[0116] j) The Somfit electronic module ( Figure 1 LHS UPPER[1]) or Figure 1 LHS LOWER[1]) can be used with compatible forehead sensor devices (e.g., Figure 1 LHS UPPER[2] or Figure 1 ) Attached or applied to the forehead of the subject LHSLOWER[2]).

[0117] k) Additionally, to enable the same Somfit electronic module device to be used for daytime or wake-up activities (i.e., users can transfer the more expensive electronic module to the wristband retainer device, which allows for sleep / wake or day / night 24 / 7 monitoring from a single Somfit module using different wearable devices such as the Sleep Forehead System and the Sunlight Fitness Tracking Health Wristband).

[0118] l) The Somfit electronic module may also include a display or indicator function to provide the user with indications of sleep / wake and daytime fitness or general health tracking measures or related indicators.

[0119] m) Somfit electronic module indicators can be monochrome, graphical, or alphanumeric. Alternatively, the display can be a simple bar graph or other graphical or numerical indicator type, showing a range of measures for daytime fitness or general health tracking, including those analyzed in further detail elsewhere in this document.

[0120] n) In an exemplary embodiment of the indicator, by applying it to the forehead to monitor sleep parameters, the Somfit module can combine actual sleep parameters (including any or any combination of EEG, EMG, and / or EOG signals constituting one or more or more channels constituting any or any combination) (i.e. Figure 2 [3] and [2], wherein sleep quality or sleep parameters (including homeostatic sleep and / or circadian rhythm factors) as well as fitness or other general health or daytime parameters can be displayed 24 hours a day, 7 days a week in a single wearable indicator system to achieve sleep / wake health tracking.

[0121] o) the Somfit electronic module (i.e. Figure 1 RHS UPPER[1] can also be connected (e.g., interlocked, magnetically coupled, clamped, attached to a button or otherwise mechanically engaged or clipped) to or as part of multiple wearable devices, including but not limited to compatible wristband devices (i.e. Figure 1 RHS UPPER[8] wristband). In addition, wireless or other connectivity features can manually or automatically transfer sleep monitoring parameters from the Somfit module to the forehead Somfit monitoring module (i.e., Figure 1 RHS UPPER[1]) was transferred to the smartwatch system (i.e. Figure 1 RHS UPPER[5]).

[0122] p) "A sensor for forehead application that combines at least one bipolar electrophysiological prefrontal electrophysiological signal" Figure 4 ;[8],[9],

[10] ,

[11] ,

[12] );

[0123] q) Sensors for forehead applications that include reusable sensors.

[0124] r) Sensors for forehead applications that include disposable sensors.

[0125] s) includes "sensors for forehead application" which may or may not have sensors with part or all of a circumferential headband. Figure 4

[13]

[0126] t) "A sensor for forehead application", which may include a self-adhesive surface and an embedded self-gelling electrophysiological electrode on one side of the sensor, such that the electrode can be exposed by removing the backing paper;

[0127] u) The “forehead-applied sensor” may include, on the non-electrode side of the “forehead-applied sensor”, a means for connecting to the electronic module (i.e., self-adhesive, press-fit bolt, magnetic, mechanical interlock, or other means) or a device for containing or holding the electronic module. Figure 4 ;[7];

[0128] v) The “sensor applied to the forehead” can monitor at least one forehead sleep parameter signal, including any one or any combination of EEG, EOG and EMG;

[0129] w) The main body is deployed and applied to the forehead sensor, which can monitor sleep parameters (EEG, EOG, EMG), and interconnected with a second wearable communication / indicator device, enabling the tracking and management of a range of sleep and wakefulness events or disorders, including the selection of appropriate countermeasures through therapeutic devices or other forms of intervention;

[0130] x) The deployment of compatible and interconnected companion wearable devices for patients (i.e., associated with the main wearer; placement of sound monitoring or environmental monitoring devices) enables further monitoring and automated tracking of wakefulness and sleep, as well as associated respiratory disturbances. Information between a set of compatible (i.e., wireless communication and information) devices (i.e., covered elsewhere in this document); eLifeWATCH ( Figure 5 [5]), eLifeWRIST Figure 5 [8]); eLifeCHEST( Figure 5 [4]); eLifeEXG( Figure 23 ), eLifeNEURO Figure 4 [2]) It can automatically and dynamically exchange data on one of the multiple said devices, enabling the determination and correlation of any combination of measures or related indicators;

[0131] y) Wherein, the “measures or related indices” may include any one or any combination of fitness, health and / or sleep parameters (personalized sleep quality, efficiency / SE, wake-up after falling asleep / WASO, deep sleep physical recovery period, REM sleep brain recovery period, sleep process tracking, sleep quality progress, sleep diary, comparative population or personalized sleep function, sleep deprivation, sleep disorders, breathing disorders, causal relationship of sleep disorders and corresponding sleep improvement tips or suggestions, sleep structure, sleep fragmentation, etc.).

[0132] z) Deployment of the Somnilink system, including the internet or other wireless means of interconnecting the Somfit system with signals or derived metrics that interface with Internet of Medical Devices (IOMDs) for medical treatment or diagnosis. Somfit can thus form biofeedback (closed-loop or other controls, incorporated into Somfit measures, as part of the decision-making process responsible for controlling treatment management). The treatment controls may include sleep therapy devices such as oral adjustment systems, patient positioning devices or trainers, PAPs, NIPPVs, and other devices. The treatment controls may include relaxation or meditation video output or control (i.e., massage chair controls), music, room lighting, video, or 3D projection, etc. The treatment controls may include magnetic or electrical stimulation devices.

[0133] aa) The Somnisync system incorporates a method for enabling “dynamic data exchange” of sleep parameters or other health or fitness parameters between two or more wearable devices or associated mobile wireless communication devices or computer systems.

[0134] bb) The so-called "dynamic data exchange" enables personalized management of sleep and / or fitness and / or other health conditions or states on watches or other wearable devices;

[0135] This dynamic data exchange (cc) enables sleep monitoring parameters and / or associated sleep measurements to be automatically displayed on a wearable display device, such as a mobile phone, through wireless interconnection between two or more wearable devices. Figure 1 LHS, [8]), smartwatches Figure 1 , RHS, [5]), wristwatch ( Figure 1 RHS, [8]) or other wearable systems;

[0136] This dynamic data exchange allows for wireless interconnection between two or more wearable devices, enabling sleep monitoring parameters and / or associated sleep measurements to be automatically displayed on a wearable display device, such as a mobile phone. Figure 1 LHS, [8]), smartwatches Figure 1 , RHS, [5]), wristwatch ( Figure 1 RHS, [8]) or other wearable systems;

[0137] For example, (from the forehead EEG, EOG, EMG monitoring section of the application) electronic monitoring transmission electronic modules to remove the sensors and devices from the forehead application and transfer the electronic modules to the wearable wrist, adding to the regular daytime wrist pedometer or motion-based fitness with sleep measures.

[0138] (ff)Somnilink forehead applications, wrist devices (i.e., watches or bracelets), or other wearable or connectable devices can be combined with measures that detect room or ambient light conditions. (That is, such devices include photoresistors or other photoelectric sensors, which are crucial for internationally recognized standard sleep indices such as sleep efficiency or post-wake sleep.) The output information of the light sensors can be linked online to automated measures applicable to sleep measures, such as sleep efficiency, post-wake sleep, sleep duration, REM sleep (during sleep), deep sleep (during sleep), non-REM sleep, etc. These light-detection sensor-derived devices can be displayed as part of another wearable device to provide the subject with instantaneous measurements or sleep functionality and performance metrics. These sleep devices can be displayed together with other fitness measures (e.g., accelerometer and / or motion sensor and / or pedometer sensor measurements) to provide sleep and fitness tracking capabilities applicable to the subject via wearable information indicators (e.g., watches or bracelets) or other subject-worn or connectable devices.

[0139] The system automatically calculates a subject's sleep and intersleep progression, as well as related outcomes and information (obstacles, measures, indicators, sleep quality or severity, and associated obstacles or concerns). This invention enables the use of information distillation methods (i.e., distillation methods may include information dissemination methods that are predefined (but not limited to empirical prior data studies, normative or disease / symptom state group data or studies) or dynamic (but not limited to determination and / or adaptation and / or adjustment based on prior monitoring or sensing information). The calculated user access permissions and rights cover roles, qualifications, security and privacy aspects, as well as appropriate user interfaces and levels of information access or information content complexity. The "information content" may include sleep structures, including REM sleep and deep sleep volume, interruptions, or awakenings.

[0140] Based on continuous tracking and calculation of a subject's sleep, this invention can automatically calculate and suggest improvements to the subject's sleep quality and whether they should or need additional sleep. These results are then compared to the subject's normal sleep requirements or a normative population database. This invention incorporates methods referencing said databases.

[0141] ii) This invention can be used to conduct questionnaires or sleep surveys, such as validated sleep scales or validated sleepiness scales, in conjunction with self-assessment to establish a set of criteria (i.e., REM sleep, sleep duration, deep sleep, arousal index, AH breathing index, RERA index, overall sleep quality, and / or sleep deprivation status) corresponding to the subject's normality, level, or indices, thereby enhancing information access for the subject or their healthcare provider to improve sleep management. Another measure includes comparing this information with current sleep and sleep progression reports or relevant trends to create recommendations based on these results and to provide suggestions to the subject or relevant healthcare provider. (Methods for comparing this information may include referencing the subject's individual sleep patterns determined by a personal survey assessment, continuously calibrated relevant "standards," and comparisons with a patient normative database.)

[0142] Based on the user's wake-up needs and the sleep cycle with the least adverse impact during wake-up, this invention realizes the sleep stage synchronization link of the clock or alarm clock system or other clock or alarm clock systems to select a more suitable alarm time for wake-up (i.e., if the prediction or occurrence of REM sleep stages is close and a longer sleep recovery is clearly needed, avoid waking up during deep sleep, which can reduce disruptive wake-ups without affecting the overall sleep or wake-up time requirements).

[0143] (kk) This invention provides a minimum configuration including: a single headband sensor (Somfit) capable of monitoring brain signals, continuously monitoring sleep parameters (EEG, EOG, EMG) and automatically processing them online to determine sleep stages (i.e., REM, non-REM stage 1, non-REM stage 2, non-REM stage 3 and stage 1).

[0144] ll) The present invention also provides options including monitoring room light detection (i.e., LDR) and / or breathing sounds (i.e., snoring) and / or sleep apnea monitoring via a range of other optional sensors (including any or a combination of RIP, PVDF, piezoelectric sensors or other chest and / or abdominal bands; nasal cannula sensors; airflow sensors).

[0145] The present invention also provides the option to combine a single sensor strip with an embedded reflective pulse oximeter sensor (with an LED and an LDR), thereby allowing the pulse oximeter sensor to be connected to or embedded in a forehead sensor to provide plethysmography and oxygen saturation measurement (including any or a combination of PTT, pulse wave oscillation autonomic markers of obstructive sleep apnea, pulse wave amplitude, and pulse arterial tone).

[0146] eLife Watch Overview

[0147] A wearable wrist-based monitoring device, comprising a gyroscope or position tracking system, capable of inputting data to calculate automatic gait incorporation and walking characteristics (including Parkinson's disease). This includes automated analysis of long-term trends in automated gait analysis capable of detecting mobility in walking and maneuvering, and predictive assessment of individual walking (gait)-related outcomes (i.e., based on detection trends that may have further impact, suggesting a visit to a GP or specialist), such as inability to swing arms naturally when walking forward, short stride, dragging gait, and difficulty walking (i.e., changes in limb and stride movement related to the maneuvering angle). Any combination of data such as GPS, gyroscope, motion, and location data can be analyzed as markers of predefined events or health conditions onset or morbidity. Figure 1 , RHS, [5]).

[0148] An exemplary embodiment of the watch module sensor platform system includes any one or any combination of the following: photoplethysmography, blood oxygen saturation plethysmography, temperature, spring pressure or fixed sensor electrophysiological monitoring (e.g., conductive rubber), hand current resistance (GSR) monitoring, Doppler ultrasound monitoring, light detection monitoring, and microphone monitoring. Figure 7 ), a smartphone system with SaaS[1], which includes a cloud computing service interface and other connectivity options (e.g., simultaneous connection to additional communication networks, system interconnection, or other interconnection options including WWW, IP, LAN, WAN, assisted / companion monitoring / sensing or computing systems, SaaS including cloud computing services or NAS, peer-to-peer connections, etc.) and embedded sensors, applanation pressure monitoring, Doppler flow[3], PPG, temperature, GSR, pedometer / accelerometer, location, metabolism / calorie burning tracking ( Figure 7 , Figure 9 , Figure 13 ) range.

[0149] -The GSR means may include incorporating a plurality of non-polarized electrodes that are applied to the skin surface with a small constant current (i.e., 3 to 5 μV), whereby the resistance of the palm skin is proportional to the voltage potential formed between the electrodes.

[0150] - Resistance is mainly due to the semi-permeability of sweat glands and related epidermal electrical properties.

[0151] - Different electrical properties are generated during sleep and wakefulness, which can be traced as alternative or shared measures for the determination of sleep and wakefulness states.

[0152] - The selection of the GSR method of the present invention includes switching or alternating the direction of the small constant current between the electrodes to minimize the electrode polarization effect.

[0153] An exemplary embodiment of the watch-mounted modular sensor platform system includes a DOPPLER ultrasonic monitoring and / or TONONOMETER monitoring and detection system. Interchangeable rear covers (screw, press-fit, or rotary screw fit; rubber seals ensure water resistance or waterproofing). Figure 9 ).

[0154] eLifeBUDS Overview

[0155] Earplugs (headphones) wearing monitoring devices that combine sleep, health, and fitness monitoring include a range of physiological parameter monitoring sensors, including GSR, temperature, pulse, motion, and / or energy / heat distribution characterization, to enhance calorie burning measurement. Figure 1 , LHS, [3]).

[0156] eLifeKIT Overview

[0157] -eLifeKIT offers a range of wearable or app-based monitoring systems that can operate independently or as part of a cluster of interconnected systems, spanning common frameworks and health management platforms, and enabling personalized health management frameworks based on compatible health tracking and management technologies;

[0158] Overview of Multi-Point Simultaneous Monitoring (MTM) System

[0159] Combined with a Multi-Point Synchronous Monitoring (MTM) system, this system can automatically characterize online clock attributes (i.e., offset, deviation, stability) with calibration of these timing characteristics. This calibration is achieved through continuous tracking and compensation in all relevant clock synchronization systems, using any combination or phase-locked loop or open-loop control method. MTM combines calibration modes and corresponding compensation modes to minimize online or data reconstruction time alignment errors at any time or under varying monitoring / communication conditions, across different transmission media or multiple simultaneously monitored devices or systems. MTM can be deployed in different monitoring systems and communication networks, employing free-running, master-slave, or multimodal timing reference methods to achieve minimal data acquisition inaccuracies. It provides clock synchronization accuracy for more relevant monitoring systems, with the accuracy range derived from atomic clock accuracy or based on accuracy requirements derived from and reducing relevant phase or data alignment errors suitable for dedicated or specific applications or requirements.

[0160] eLifeSLEEP Overview

[0161] This eLifeSLEEP invention enables true sleep monitoring and tracking, combining head-mounted applications (such as Somfit) to monitor key sleep parameters for sleep and sleep-related disorders. The invention features a single, small, easily applied (e.g., magnetic) and disposable, self-adhesive electronic device (avoiding cross-infection or the need for pressure to be applied to an individual's head or forehead).

[0162] eLifeCHEST / eLifeSCOPE Overview (Chest Band) Figure 5 [3];[4]; Figure 32 ; Figure 33 )

[0163] The chest monitoring device has the capability to automatically track stethoscope sleep and wake-up breathing sounds, central and obstructive sleep apnea / hypopnea, and other sleep disorders. Figure 1 , LHS UPPER[7]). The chest monitoring device incorporates sensors that combine sleep, health and fitness monitoring, including a range of physiological parameters, including stethoscope sound monitoring with online automatic respiratory disturbance identification and tracking, reflectance plethysmography and related outputs, light pulses, energy / heat distribution characterization (with an option to monitor the spatiotemporal dynamics of body heat emissions using time-gated NFIR analysis), for enhanced calorie burning determination.

[0164] By correlating respiratory movements with respiratory effort, the invention also includes the differentiation between obstructive and central sleep apnea, thereby measuring and / or using chest and / or abdominal respiratory peristaltic movements via EMG and / or pulse transient oscillation amplitude. Figure 1 LHS UPPER[7]) can determine breathing effort.

[0165] Overview of Adaptive Physiological Body Networks (APM)

[0166] An adaptive physiological monitoring (APM) system enables a group of mobile collaborative (e.g., interconnect compatibility) monitoring systems to automatically reconfigure their data acquisition, physiological parameter data acquisition linking system or network attributes or mutual communication attributes, resource and / or parameter, information, communication and related data priority, and other available processing or communication system resource allocation, and the use and / or shared resources across devices, methods, systems and networks or interconnect configurations (e.g., memory storage, buffering, etc.). This is adapted to available resources or monitoring and / or communication conditions and / or available communication media, networks or other interconnection options (including simultaneous interconnection with additional communication networks, systems or other interconnection options such as WWW, IP, LAN, WAN, auxiliary / complementary monitoring / sensing or computing systems, SaaS including cloud computing services or NAS, point-to-point connections, etc.), and at any point in time and / or communication path (e.g., wireless connection) to accommodate minimum monitoring study type requirements (e.g., professional medical level or consumer level study type, form and standard) to reduce the risk of data loss (e.g., during wireless connection degradation or interruption).

[0167] By enabling automatic compensation to adapt to changing or unpredictable monitoring conditions, such as body coverage of wireless communication paths associated with wearable monitoring devices, the APM system significantly enhances the resource and communication "flexibility" of the data acquisition / monitoring / sensing system to improve system and data reliability.

[0168] eLifeBAND (Mobile Device and Integrated Sensor Armband) Overview

[0169] Wearable metabolic monitoring devices, such as mobile phone cases with health and fitness monitoring functions, incorporate a range of sensors, particularly well-suited for determining an individual's energy expenditure, correlated with an estimated or predicted individual metabolic rate (calorie burn) associated with exercise. These devices integrate spatiotemporal dynamic characterization based on body thermal emission (i.e., time-selective NFIR analysis) to enhance calorie burn measurement. Thus, such devices can include any number and combination of temperature sensors with physiological sensing or three-dimensional infrared thermal mapping capabilities. By using more sophisticated devices, such as infrared sensors, heat dissipation can be measured, enabling characterization of body heat dispersion and emission, allowing for time-specific dynamic thermal imaging of physiological temperature, thus making metabolic modeling and associated calorie burn rates more comprehensive and accurate. Figure 1 LHS UPPER[9]).

[0170] A mobile phone casing incorporating metabolic monitoring capabilities, including sensor range and associated automated calculations of multivariate analysis and online indications (i.e., via a mobile application or a wearable device indicator with wireless connectivity, dynamic data exchange, or interchangeable electronic module compatibility or interface functionality), metabolic or calorie burn measures. Figure 1 , LHS UPPER[9]), these measures include the spatiotemporal dynamics of body heat / energy release (i.e., time-selected NFIR analysis);

[0171] eLifeDOPPLER Overview

[0172] This invention provides the deployment of a Doppler monitoring tracker (DWT) system, comprising monitoring the wrist, ankle, arm, and / or other limbs or body parts of a subject, or combinations thereof, for any or a combination of the following Doppler and / or ultrasound vascular or cardiac features, based on periodic or continuous monitoring of any or a combination thereof:

[0173] Dual channels – radial and ulnar arteries;

[0174] Single channel - radial and ulnar arteries;

[0175] Single channel - ulnar artery;

[0176] Single channel - radial artery;

[0177] eLifePULSE (Plateaugmentation Tonometry) Overview

[0178] This invention includes deploying a connectable / wearable applanational tonometry (AAT) device, which may include: a watch, bracelet, or other device incorporating periodic or continuous applanational tonometry. Figure 37 The device thus employs a pressure sensor capable of measurement and / or radial and / or ulnar artery ( Figure 38 Characterization of other systemic arterial pulse characteristics (pulse waveforms). Furthermore, to derive the relevant ascending aortic pressure wave, the present invention can further calculate pulse wave analysis (PWA) including recording the arterial pressure period (e.g., 10 seconds), from which cardiovascular measurements such as central aortic systolic pressure, aortic enlargement index, and central pulse pressure, and / or other cardiac function measurements, can be obtained. Attached Figure Description

[0180] Figure 1Top left: A diagram of a subject / patient wearable neuro-sleep / fitness / health management system including a sensor (Somfit) for forehead application using headband attachments[2], eLifeBAND (arm phone / entertainment / device holder[9]), eLifeWATCH

[13] , top right: A subject in sleep with eLifeCHEST[3], eLifeWATCH[5], eLifeWRIST[8] and Somfit[1] devices, bottom right: eLifeWATCH with sensor monitoring platform, bottom left: Sensors for forehead application combined with self-adhesive attachments, no headband attachment required.

[0181] Figure 2 A wrist with monitoring and health / fitness / sleep functions or performance indicators (eLifeWRIST).

[0182] Figure 3 Somfit / eLifeNEURO headband with forehead EEG / EOG / EMG, LDR and / or sports and health tracking capabilities.

[0183] Figure 4 An example of a headband (eLifeNEURO) for monitoring electrode configuration.

[0184] Figure 5 A schematic diagram of a sleeping subject equipped with a series of wearable health tracking devices.

[0185] Figure 6 eHealthWATCH combines a programmable surface with health indicators, health monitoring applications, monitoring settings and selection applications, and a sensor monitoring platform.

[0186] Figure 7 eLifeWATCH with a health monitoring sensor embodiment.

[0187] Figure 8 An example of an online application for a wearable health monitoring companion.

[0188] Figure 9 eLifeWATCH Doppler ultrasound example.

[0189] Figure 10 Gestures or buttons can be used to display and select menu options.

[0190] Figure 11 eLifeWATCH Setup and Signal Verification Example Application Screen.

[0191] Figure 12 The control interface of the smart health watch.

[0192] Figure 13 The eLifewatch features a smartphone, sensor interface, and wireless information access system (i.e., NAS, SaaS, or cloud computing services).

[0193] Figure 14 Battery-powered wireless headphones combined with a platform that has sleep, fitness and / or health monitoring and / or analysis and / or indication or alarm capabilities.

[0194] Figure 15 eLifeCHEST.

[0195] Figure 16 eLifeCHEST; eLifeWRIST; Somfit; eLifeWATCH.

[0196] Figure 17 ELifeCHEST features a professional-grade user interface with options including a watch conversion module.

[0197] Figure 18 eLifeWATCH smart health watch system.

[0198] Figure 19 Cloud computing services or other web application services are combined with watches and monitoring devices to provide or expand processing needs.

[0199] Figure 20 Somfit / eLifeWRIST / eLifeBANGE / Somfit.

[0200] Figure 21 Interchangeable or complementary Somfit forehead applicator self-adhesive band (right) and eLifeWRIST (center) for health tracking of sleep and fitness parameters.

[0201] Figure 22 Pulse oximeter with 7-day battery life and wireless probe.

[0202] Figure 23 Universal wireless, battery-powered bipolar eLife G system.

[0203] Figure 24 Scaffold, EMG or other bipolar electrophysiological electrode strips.

[0204] Figure 25 The Somnii FIT frontal (headband / forehead band) consumer-format electrophysiological sensor array is designed to monitor EEG, EMG, EOG, and any other sleep or neurological parameters or processes using a single electrode array (Somfit).

[0205] Figure 26 With new A sleep health wristband that measures actual sleep patterns.

[0206] Figure 27 The embodiments of the invention are based on the top-level diagram overview and the acronyms provided in this document.

[0207] Figure 28 Flowchart outlining the Patient Wearable Device and Supporting Management System (HMS) platform.

[0208] Figure 29 External noise detection and elimination system.

[0209] Figure 30 Overview diagram of a multi-point time synchronization monitoring (MTM) system.

[0210] Figure 31 A chest strap with an embedded day and night breathing stethoscope (eLifeSCOPE) [3,4] is shown to monitor day and night breathing sounds, EEG, temperature, position and respiration [2], and an ECG sensor [5,6].

[0211] Figure 32 An armband phone case with a combination of phone power and data connector charging interface options [2] is shown. Holders include embedded metabolic monitoring of calorie-burn tracking, temperature, GSR and PPG.

[0212] Figure 33 The armband phone case (eLifeBAND)[4] incorporates sensors, including embedded metabolic monitoring for calorie-burn tracking.

[0213] Figure 34 Doppler watches, ankle, wrist, or arm monitoring systems.

[0214] Figure 35 The sensor (probe) worn by the patient in the ultrasound Doppler watch.

[0215] Figure 36 The main character is wearing a Doppler watch.

[0216] Figure 37 Examples of eLifeWATCH or eLifeWRIST “wearable barometer” or attachable systems.

[0217] Figure 38 The wrist of a subject is shown, with annotations indicating the radial artery[1] and ulnar artery[2] suitable for the measurement location of the present invention, for automatic continuous or spontaneous cardiovascular and circulatory system monitoring and functional performance and measurement determination of a "wearable barometer".

[0218] Figure 39Vehicle-mounted or wearable devices (such as glasses) monitor driver eye, face, and head or body movements via video imaging and / or infrared reflectometry and correlation analysis. This invention combines vehicle-mounted or driver-wearable (i.e., glasses) recording and / or infrared reflectometry monitoring capabilities. The vehicle-mounted interface camera and infrared reflectometry monitoring system demonstrate the invention's combination of dual-core infrared illumination with automatic day / night infrared video recording and vehicle-mounted infrared LED / LDR scanning (using an automatic pan-focus amplification driver / subject eye tracking system (i.e., hidden within the vehicle's headliner) for eyelid displacement measurement, enabling excellent hybrid infrared reflectometry and IR video tracking systems with minimal face, eye, and head tracking and maximum signal strength across a wide range of lighting conditions.

[0219] Figure 40 This invention can be configured to recognize eye and facial features as a means of tracking changes applicable to intuitive states or related alterations. >> This invention incorporates forward video recording as a measure of lane deviation or other steering attributes, which may serve as an indication of driver drowsiness or reduced driver / subject alertness.

[0220] Figure 41 This invention combines video imaging with related facial feature recognition and tracking capabilities. It enables the monitoring and processing of driver / subject video to continuously identify and determine head movements, drooping, rotation, and other motions, as well as related facial feature recognition and motion changes, eye movements, gaze, and other features to detect changes in driver drowsiness. Furthermore, factors such as slowed eyelid movements, prolonged driver / target gaze or dwell time, and decreased normal alertness can be continuously tracked as indicators of the onset of driver drowsiness or changes in driver / subject attention or alertness.

[0221] Figure 42 The present invention includes vehicle-mounted and / or driver-installed rear and / or front projection video imaging and associated lane recognition and other visual analysis.

[0222] Figure 43 The driver / subject wearable glasses combine any one or any combination of binocular or monocular infrared reflective oculography and / or video imaging (with infrared capability). >>> The driver / subject wearable glasses, combined with infrared reflective oculography with the capability options of this invention, enable new infrared scanning, thereby allowing for more precise determination of eye opening via angular displacement of the eyelids or by calculating linear displacement measurements using IR scanning (relative to physiological infrared reflective signals (i.e., oculographic infrared amplitude measurement)), achieving a more accurate measurement than conventional alternative reflective infrared amplitude measurements.

[0223] Figure 44A top-level functional system overview diagram of the anesthesia and depth of consciousness monitoring and analysis system, combined with the numbering of the main claim group. 10 .

[0224] Figure 45 An automated diagnostic and prognostic EEG monitoring and analysis system, combined with minimal processing, enables monitoring and automated analysis at both professional and consumer levels.

[0225] Figure 46 Top: A simplified, stylish forehead band with an EEG monitoring system.

[0226] Figure 47 A simplified EEG with glasses-integrated electrodes for headphones.

[0227] Figure 48 Top image: A simplified, stylish EEG monitoring system.

[0228] Figure 49 A simplified, stylish hybrid of EEG monitoring systems.

[0229] Figure 50 This invention presents a simplified and improved EEG head monitoring system based on the minimized analysis and electrode determination process and apparatus of the present invention (i.e., including an EEG head monitoring system capable of manual or automatic reconfiguration based on specific electrode minimized analysis and determination).

[0230] Figure 51 Bottom figure: Shows a comprehensive EEG headgear monitoring system (determined by the minimum configuration of EEG monitoring using only the necessary electrodes as described in this invention), in contrast to a minimal version based on reduced dimensional redundancy of monitoring configuration and analysis variants (see top figure).

[0231] Figure 52 An embodiment of the electrode[5] minimization system of the present invention, wherein a single device can disable or disconnect non-essential electrodes[1;2] to provide a less obtrusive monitoring capability that is better suited to the monitoring needs of daily or event-based consumers.

[0232] Figure 53 The magnetic stimulation system can be configured to stimulate anterior [2; 3; 4; 5] regions [1; 6] and / or posterior regions of the brain.

[0233] Figure 54EEG monitoring is configured as an embodiment of motion or other head protection systems and enables online sensor [1,2,59] monitoring, signal processing and signal data acquisition, as well as analysis processing via attached wireless interfaces [3] to determine TBI based on automated analysis, wherein the automated analysis includes any one or any combination of nonlinear dynamic analysis, source localization, consistency, and / or measurements of binaural auditory stimulation and AEP with brain responses (including (but not limited to) online MMN attention determination).

[0234] Figure 55 The embodiments of the present invention are illustrated, including high-density monitoring with 133 channels.

[0235] Figure 56 Examples of induced responses and continuous EEG monitoring, combined with any combination of NLDB / entropy, differential, rapid online AEP or spontaneous event monitoring and / or analysis techniques (i.e., autoregressive analysis with external modeling inputs, capable of generating an 8-second online average with a 9-point AEP test paradigm, for example only) and / or adding brain energy and related connectivity (i.e., dipoles; coherence).

[0236] Figure 57 The embodiments (sedation, pain, anesthesia monitoring) employ the structural analysis method of the present invention, combined with methods including the definition of causal physiological mechanisms and related physiological markers, as well as the determination of related discrete and related monitoring signals, applicable to the prognosis, diagnosis and / or treatment of events, diseases or health conditions.

[0237] Figure 58 A table is displayed showing the subject / patient's symptoms or effects (left column), physiological variables (column 2), monitored physiological variable measurements (column 3), and relevant biomarkers (column 4).

[0238] Figure 59 The table shows an example of an event related to the online monitoring capabilities of the present invention and applicable to a single event or a set of events, or a biomarker for prognosis or diagnosis. >>> Overview of routine and anesthesia-specific events, corresponding to the present invention. Figure 57 , Figure 58 and / or Figures 59 to 75 The ability to apply structured methods, and based on Figure 45 The ability to achieve health management goals and minimize processes, and according to 76 to Figure 80 The invention provides the ability to aggregate and self-learn relevant information and monitoring. It also offers the capability to map a range of biomarkers or events, which can automatically detect single events or sets or clusters of any combination of events through online monitoring, facilitating automated prognosis and / or diagnosis of subject / patient-specific or broader events or health conditions.

[0239] Figure 60 The present invention provides automatic (online capable) monitoring and / or analysis. Figures 66 to 70 Examples of the ability and / or indication of dynamic sleep / wake ultrasound images associated with brain source localization, topography, coherence statistics and / or functional data views.

[0240] Figure 61 The embodiments of the present invention illustrate that the present invention can monitor subjects / patients in real time through online analysis to achieve any predefined "monitoring target" or "broad" data mining purpose (i.e., NAS, cloud computing services, LAN, WAN, IP, WEB, etc.).

[0241] Figure 62 Embodiments of the present invention include automatic (online) monitoring and / or analysis capabilities and / or indications of conscious state-sleep evoked potentials, voltage graphs, and cortical connectivity (coherence).

[0242] Figure 63 Embodiments of the present invention include automatic (online) monitoring and / or analysis capabilities and / or indications of states of consciousness – arousal evoked potentials, voltage graphs, cortical connections (coherence).

[0243] Figure 64 Embodiments of the present invention include automatic (online) monitoring and / or analysis capabilities and / or indications of states of consciousness – arousal evoked potentials, voltage graphs, cortical connections (coherence).

[0244] Figure 65 Embodiments of the present invention include automatic (online) monitoring and / or analysis capabilities and / or indications of states of consciousness – arousal evoked potentials, voltage graphs, cortical connectivity (coherence), and image data.

[0245] Figure 66 Embodiments of the present invention provide the capability for automatic (with online functionality) monitoring and / or analysis through online source location and related indications.

[0246] Figure 67 Embodiments of the present invention include automatic (with online capability) monitoring and / or analysis capabilities and / or indications for dipole determination.

[0247] Figure 68 This invention relates to embodiments of automated (online capable) monitoring and / or analytical capabilities and / or indications of a streamlined or “consumer-level dashboard” health management system view. This mobile device or wearable system (i.e., iWatch) view can be supplemented with more sophisticated clinical or scientific dashboards and related services.

[0248] Figure 69Embodiments of the present invention include automatic (online) monitoring and / or analysis capabilities and / or instructions for the localization of online EEG sources.

[0249] Figure 70 Embodiments of the present invention include automatic (online capable) monitoring and / or analysis capabilities and / or indications of activity health management attributes (click / tap to light up).

[0250] Figure 71 An embodiment of the present invention, which provides automated (online) monitoring and / or analytical capabilities and / or indications of complex “scientific dashboard” configurations, is a presentation of the neurospectral display (NSD) as a functional representation of an A&CD display (A&CDD) system with frequency histograms.

[0251] Figure 72 Patient-13: Embodiment of the automated (online capable) monitoring of the present invention. >>> Monitoring includes analytical capabilities and / or indications of ADiDAS latency-dependent detection of data peaks denoted as “a” to “d”. This series of figures illustrates the corresponding BISTM output ( Figure 9 The variance of the different A&CD data trajectories for 8 ADiDAS delay variations. Reference: REG_PAT13DIFF_8LAT&4ANAYL&BIS_4sep08COMP PT2.xls

[0252] Figure 73 Embodiments of the present invention include automated (online capable) monitoring and / or analysis capabilities, including EEG events and associated fast average (ARX) AEP events (P6; P8), for online event characterization and related detection. >>The study example shown here is designated Pat-13. Pat-13 EEG and ARX 15-scan AEP peaks 6 (395 sec) and 8 (779 sec). The data trajectory shows Pat-13 EEG and ARX 15-scan AEP peaks 6 (395 sec) and 8 (779 sec). The data trajectories are displayed in descending order (from top): EEG peak 6 (395 s), AEP peak 6 (395 s); AEP 6- (392.8 s); AEP 6+ (397.2 s), EEG peak 8 (779 s), AEP peak 8 (779 s); AEP 8- (776.8 s) and AEP 8+ (781.2 s).

[0253] Figure 74 Embodiments of the present invention include automatic (online capable) monitoring and / or analysis capabilities, and / or indications for online event identification and depiction or incident identification and classification among any combination of CNS, PNS, MT, BM, Ar, ArNx, eye-tracking, and EMG intrusions.

[0254] Figure 75 Automatic online identification of events, including arousal or sleep biomarkers applicable to the onset or incidence of neurological disorders such as Parkinson's disease (including idiopathic SBD), epilepsy, depression, autism, and / or ADHHD.

[0255] Figure 76 eLifeMEDICS & eHealthMEDICS Health Management System (HMS). A highly secure and private data gateway whose object layer can connect to different information and monitoring systems while isolating clinical information and data from private information, and includes private keys and data isolation technologies designed to mitigate hacking or other security risks.

[0256] Figure 77 Health Management System (HMS) experts or artificial intelligence engines provide a method for improving continuous diagnostic and prognostic health tracking algorithms.

[0257] Figure 78 The prognostic and diagnostic knowledge database [6; 7; 8; 9; 10; 11; 12] is based on the transformation of information sources applicable to experts and subjects / patients via the Internet / network links [3] and is aggregated into the system intelligence [1; 4].

[0258] Figure 79 Methods for transforming information and knowledge in a health management system (HMS).

[0259] Figure 80 Personalized subject / patient-health management system (HMS)[1] includes any one or any combination of monitoring targets.

[0260] Figure 81 An overview of the eHealth (eLife) platform, including unique mobile devices, related applications, services, and system control factors.

[0261] Figure 82 Integrated sensor accessory (ISA) with signal quality indicators, combined with accordion expansion system options. 10 .

[0262] Figure 83 Automatic pattern determination (AMD) and associated sensors (ISA), patient interfaces (WEM; CEM; UIM) and signal quality management (SQE; SQI&C) and automatic identification and characterization (AICC) systems. 33；15；10 .

[0263] Figure 84 Fixed "source type" and rotating "source position".

[0264] Figure 85Average raw data waveform display of "evoked" response or spontaneous event (functional data)

[0265] Figure 86 Source localization includes modeling subject / patient-specific EEG signals using typical MEG brain patterns and related analyses (i.e., Colin Neo 6 Aug 13 BEM (3 / 3 / 14 / 12 / 10) cortical layer (120) 3 mm) to facilitate (and can also be modeled to any patient-specific imaging study) segmentation of our cerebellum and brainstem. In this example, the invention provides a “head model” by selecting “Neo Colin 7 Aug 13 BEM 3 / 3 / 14 / 12 / 10 mm cortical layer (120)” from the “Head Model” drop-down menu.

[0266] Figure 87 Output results include: Sleep (EV2 3M GM AVE); Study 2FD, Map, 3D View: Points; COGObj cut-off <50%; CDR Par cut-off <43%; Minimum lag 10ms; Maximum lag 100ms; CDR conversion 90%; Electrical conversion 90%; SRC COH (fixed) for CDR (sloretta) object OFF.

[0267] Figure 88 Noise estimation (left) and option parameter configuration (right).

[0268] Figure 89 Current density parameter settings (left), source parameter location settings (middle), and source coherence (fixed) attribute adjustment (right), applicable to source coherence (fixed) for adjusting current density reconstruction (sLORETA) attribute.

[0269] Figure 90 Using the same parameters, including FD, MAPS, 3D view: bottom, front; coherent object 50% cut, fixed "Source Type" with rotated "Source Position"; CDR cut below 76%; minimum hysteresis; 6.4ms; maximum hysteresis 100ms; CDR transparency 90%; electrode transparency 90%; source coherence (fixed) on CDR (sLoretta) object; dipole (3 fixed music) object on; dipole intensity icon activated.

[0270] Figure 91 Baseline outputs FD, MAPS, and 3D views correspond to the 3-minute GM mean during the drowsy phase of the Manuel study 2, and are labeled with thalamic-occipital coherent activity. Specifically, output demonstration results from configuration values, as shown in Table 7, correspond to baseline dipole CDR COG with 3 different ARCS.

[0271] Figure 92Noise estimation parameter settings and results (left) and source coherence (3 fixed music) properties.

[0272] Figure 93 Dipole (left), dipole adaptation (middle), and dipole density (right) parameter configurations.

[0273] Figure 94 This shows an example of a segmentation plot (simulated data), where the red arrow on the lower refractive index plot has an arrow on the x-axis that tracks 64 average channels (ARX or regular, depending on the parameter panel discussed in the previous description above) with respect to the position of the central cursor.

[0274] Figure 95 Review – Top – State: Awake / Restless Cortical Connectivity (Coherence); Bottom – State: Sleep: EP, Voltage Map Cortical Connectivity (Coherence) & Image Data.

[0275] Figure 96 Part A: Circadian Clock (CC) Health Management System (HMS); Part B: Circadian Clock (CC) Health Management System (HMS).

[0276] Figure 97 4-stage entrainment adaptive monitoring (EAM) system.

[0277] Figure 98 The state determination system combines reflex eye animation with recordings of face, head, eyelid, and eye movements.

[0278] Figure 99 The dashed waveform here represents the calculated relative eyelid closure velocity, while the solid waveform represents the eyelid position (or the relative distance associated with eye opening, such as the linear peak distance from eyelid to eyelid). In this embodiment, P is at 1 / 2 or 50% of the maximum amplitude (M), approximately 100 milliseconds. The annotation labeled RPECS refers to the relative peak of the eyelid closure velocity.

[0279] Figure 100 Brain schematic decomposition, based on temporal segmentation of higher-order processing associations determined from anatomical fiber / axial or sensor sensory / neural activation to distributed or embedded processing, is applicable to ER, SR, cognitive impairment or performance and related connectivity or disconnectivity, as well as brain states, neurological disorders or diseases and related transitions or grading measurements. This invention incorporates an automatic connectivity threshold ("MIND") (temporal interrelationships between local regions of any source (i.e., current density sLORETTA) based on a range of applicable connectivity configuration parameters (i.e., connectivity arcs or dipoles applicable to ERP or brain activation or detection) to facilitate the display of range-distinguished arcs or connections (and connection directions, based on destination-related delay regions and earlier activation regions of the source).

[0280] Figure 101 The present invention provides an objective evaluation basis analysis of neurocognitive states, from which brain connectivity sequences can be determined.

[0281] Figure 102 a) 15 AEP primary and secondary analysis transformations; applying 5 secondary transformations (dark shaded cells in the left column) to 3 primary transformations generates 15 AEP analysis modes (unshaded cells), corresponding to AEP waveform amplitude, differential amplitude, and integral amplitude (AEPA, AEPDA, and AEPIA are shown in the light shaded cells). AEPA, AEPDA, and AEPIA are AEP average waveforms, and the calculated index values ​​include the “S” label (AEPAS, AEPDAS, and AEPIAS).

[0282] Figure 102 b) Analysis of numbering and naming conventions.

[0283] Figure 102 c) Derivation of the time-domain average (A) waveform (AEPA); the top trace shows 20 raw EEG data segments from a single AEP scan (center trace) extracted from the patient to calculate the average (A) waveform (AEPA), as shown in the trace below.

[0284] Figure 102 d) AEPDA waveform sample and corresponding EEG data (top).

[0285] Figure 102 e) shows the AEPIA transformation (bottom panel) corresponding to the EEG time series data (top panel). Detailed Implementation

[0286] The subject is able to control the system's indications or associated display information by means of a method or device (i.e., by clicking, making gestures or touching, etc., through capacitive or resistive surface detection) to switch between display modes, reflecting brain-based sleep parameter markers or related indices that represent the sleep state and measures monitored by the subject, which reflect other fitness and health monitoring measures or environmental sensing.

[0287] The present invention provides a method or apparatus in which a subject is capable of controlling system indications or associated display information, switching between display modes, reflecting monitored sleep measures or indicators (any one or a combination of sleep parameter measurements based on EEG, EOG and / or EMG signals, brain signal chains or EEG signals, and health and fitness measures (e.g., accelerometer or motion-based measures and / or further described in detail elsewhere in this document, including “physiological or psychological monitoring includes” and / or “environmental sensing” as described in detail hereafter and below));

[0288] In one embodiment of the invention, a wearable device (e.g., but not limited to, a headband) is included. Figure 25 [7]); General-purpose bipolar sensor ( Figure 23 ); pulse oximeter ( Figure 22 ); leg strap ( Figure 24 ); Wristband Figure 2 ), ankle girdle ( Figure 2 armband ( Figure 2 ),earphone( Figure 14 ), chest band ( Figure 5 [3];[4]; Figure 31 The main body of (other connectable devices or watches) can be used to measure and realize the rhythm, synchronicity, fluency, movement, degree, and interrelationship with other limbs (such as wrist or arm movement characteristics) of various movements.

[0289] In one embodiment of the invention, a subject equipped with a wearable device (e.g., but not limited to, wristbands, ankle straps, armbands, headphones, chest straps, other connectable devices, or watches) can automatically or manually exchange data with a data interface-compatible device (e.g., but not limited to EEG, EOG, and / or EMG-based sleep parameter monitoring systems applied to the subject's head) to enable the subject to automatically track sleep measurements, indices, and overall sleep quality. (This includes measures such as wakefulness after a sleep attack, sleep efficiency, REM sleep volume, deep sleep volume, and whether sleep structure is broken or normal, as well as other optional and user- or healthcare-programmable predictive, diagnostic, and subject-specific personal care management measures, tailored to each user's desired level of simplicity, complexity, and proficiency, making sleep deprivation, sleep structure, and sleep requirements easily accessible and trackable.)

[0290] In one embodiment of the invention, the main body with a wearable device (e.g., but not limited to, a headband) Figure 25 ; Figure 3 ; Figure 4 ), wristband Figure 2 ), ankle girdle ( Figure 2 armband ( Figure 2 ; Figure 32 ; Figure 33 ), headphones / earbuds Figure 14 ), Chest band ( Figure 31 Other connectable devices or watches ( Figure 6 ; Figure 7 ; Figure 9 ; Figure 13Data can be exchanged automatically or manually using data interface compatible devices, including alarm clocks, mobile phones, or other communication-compatible devices. For example, the information that can be exchanged includes information related to user / patient counseling (suggestions or guidelines for improving health or current health status), including indicators that can recommend sleep requirements based on any combination of daily health, fitness / activity, and sleep monitoring parameters (including but not limited to sleep parameter measurements of EEG, EOG, and / or EMG signals) and / or environmental monitoring inputs (i.e., temperature, humidity, air pollutants, airborne pollen, or other air pollutants, etc.).

[0291] Somfit minimum configuration

[0292] This invention provides the ability to monitor any one or a combination thereof of physiological channels, including but not limited to: EEG / P1, EEG / P2, EEG / P2, EOG / L / P7, EOG / R / P8, patient posture or possible multi-axis combinations of patient position and patient movement, infrared respiratory detection, microphone respiratory monitoring, light detection (i.e., photoresistive testing), optional reflective pulse oximeter, and optional wireless connectivity. As described further in detail herein, this invention uses any sensor or combination thereof required for any classification form applicable to types 1 to 4 or levels.

[0293] This invention includes physiological or environmental monitoring, comprising any one or a combination of the following:

[0294] - Sound monitoring; stethoscope auscultation sensors, monitoring and automatic analysis, classification, tracking and detection capabilities; acoustic noise cancellation systems; motion detection; REM sleep behavior disorder (RBD); pulse sensors integrated into watches for other wrist-worn devices (bands or bracelets); pulse wave analysis (PWA) and pulse wave velocity (PWV) monitoring and analysis capabilities; PWA and PWV sensors; pulse wave analysis (PWA) sensor measurements; cardiac impact recorders; posture, position and motion detection and monitoring; gait or motion tracking and characteristic-related events; motion and position information; ECG sensors and monitoring; light sensors and monitoring; breathing belt sensors and monitoring; EMG sensors and monitoring; GSR; cardiac function; heart rate; sleep training systems; plethysmography; pulse transient oscillation amplitude measurement; temperature; energy expenditure / metabolic monitoring (EM) as an alternative calorie burning measure; sleep parameters; physiological and / or sleep and / or wakefulness markers; sleep parameters; sleep architecture measures; environmental perception; "dynamic link function"; psychological state;

[0295] The present invention includes sensing, monitoring, data acquisition, signal processing, analysis, storage, and information access, including online automatic representation of the subject / individual's physiological, nervous, muscular, psychological, pathological, state, related events, and / or health status, including any one or a combination of the following:

[0296] Characteristics of rapid eye movement (REM) sleep; classification of sleep disorders; selective sleep disorders; dreaming state, fantasy state, splitting state, hypnotic state; and further summarized below and elsewhere in this patent application.

[0297] This invention provides environmental monitoring or sensing, which includes any one or a combination of the following:

[0298] Environmental sensing (with alarms or alerts or indicators or interfaces or messages associated with mobile devices, email, automated voice messages on telephones and other information or communication systems), weather elements, wind, humidity, temperature, ionization monitoring, ionization smoke alarms, methane monitoring, toxic gas monitoring, toxic chemical monitoring, carbon dioxide gas monitoring, methane gas monitoring, other toxic gases, other toxic chemicals and / or thermometers, and / or “physiological or psychological monitoring includes” and / or “environmental sensing”, as described below and in other parts of this document;

[0299] In one embodiment of the invention, a wearable device (e.g., but not limited to, a headband) is included. Figure 25 ; Figure 4 ), wristband Figure 2 ), ankle girdle ( Figure 2 armband ( Figure 2 ; Figure 32 ; Figure 33 ),earphone( Figure 14 The main body of the device (including the chest strap, other connectable devices, or watch) can exchange data automatically or manually. If the device has a data interface compatible device, including the main body's room temperature thermostat (or other communication compatible device), the thermostat can optimize sleep environment conditions based on the main body's preferences and / or automatically, based on environmental monitoring and / or main body-specific or biologically synchronized characterization (i.e., descriptions of snoring partners, sounds that are biologically out of sync with the partner, and options for automatic sleep training feedback or notification of non-snoring individuals with sleep interruption rates (examples only)) (i.e., suggestions, tips, access to prognostic or diagnostic support data for healthcare professionals, etc.)).

[0300] In one embodiment of the invention, a subject with a wearable device (e.g., but not limited to, wristbands, ankle straps, armbands, headphones, chest straps, other attachable devices, or watches) can automatically or manually exchange data with a data interface compatible device based on subject or biological synchronization characterization and determination, such as a description of a snoring partner, in which case the sound is biologically out of sync with the partner and there is a possibility of automatic sleep training feedback or notification or adaptation, or adjustment because of its causal relationship with sleep interruption;

[0301] In one embodiment of the invention, a subject with a wearable device (e.g., but not limited to, a wristband, ankle strap, armband, earphone, chest strap, other connectable device, or watch) can automatically or manually exchange data with a data interface compatible device, based on subject-specific or biosynchronous characterization and determination, as it involves another person snoring (by example only) and causing sleep disruption for the user or wearer of the invention. Notifications include automatic alarms (e.g., mobile phone messages, alerts, calendar entries, events, and / or sleep trainer systems, etc.) or other sleep disruption deterrents suitable for recommendations, prompts, prognoses, or diagnoses, supporting data access for healthcare personnel or therapeutic adjustments for the user or subject invention or other nearby persons; (i.e., any one or a combination of automatic biofeedback or manual adaptation, adjustment, or reconfiguration).

[0302] In one embodiment of the invention, a body having a wearable device (e.g., but not limited to, a wristband, ankle strap, armband, earphone, chest strap, other connectable devices, or watch) can automatically or manually exchange data with a data interface, which may include any network connection and / or available communication medium, network or other interconnection options (including simultaneous interconnection with additional communication networks, system interconnection or other interconnection options, such as WWW, IP, LAN, WAN, supplemental / accompanying monitoring / sensing or computing systems, SaaS, including cloud computing services or NAS, peer-to-peer connections, etc.).

[0303] Comprehensive online disclosure of physiological parameters

[0304] This invention includes portable devices (i.e., mobile wireless systems, wristbands, smartwatches, telephones, PDAs, headbands, head-mounted devices, connectable or pocket-sized devices, etc.) that include methods for indicating and / or tracking any or a combination of a subject's sleep performance / function, sleep parameters, fitness or exercise parameters, fitness or exercise performance / function, health parameters, and / or health status / function. This invention also includes any or a combination of the following:

[0305] - Gesture activation (i.e., click actions, toggles, finger swipes, wrist shakes, etc.) serves as a means of switching between any of the stated parameters or performance / functionality metrics or indices.

[0306] - Wireless monitoring function, capable of monitoring sleep parameters (i.e., EEG, EMG, EOG, etc.) online;

[0307] - Comprehensive disclosure capability of online monitoring sleep parameters (i.e., EEG, EMG, EOG, etc.);

[0308] This fully discloses any or a combination of the following: primary monitoring data (i.e., physiological waveform data), secondary monitoring data (i.e., a summary of compressed data), and / or tertiary data (i.e., analytical transformations of primary or secondary data, such as, but not limited to, exponential or spectral analysis, signal dynamics analysis (i.e., nonlinear dynamics analysis), correlation analysis, coherence analysis, multivariate analysis, FFT, and correlation outputs).

[0309] -Combined with MTM capabilities;

[0310] -Combining APM capabilities;

[0311] - The ability to integrate HDCM;

[0312] -Synch somnisync (elsewhere in this patent application document);

[0313] - Combines a wearable headband device with full disclosure of the device (i.e., raw data of any of the EEG, EMG and / or EOG electrophysiological signal fluctuations, including bandwidth capable of enabling all sleep and other neurological events, including HFO, spikes, axisymmetric waves, peak spikes, or other events or health conditions covered elsewhere in this document).

[0314] - Combining "spectrum compensation" and "other compensations", the EEG signal is analyzed and transformed in this way, which is applicable to standardized (i.e., AASM or K&K extended recommendations or standards) or any specific or conventional EEG electrode location.

[0315] - "Spectrum compensation" and "other compensation" may include spectral transmission characteristics, phase transmission characteristics, signal amplitude, signal distortion, and superposition of multiple signals. The opposite position of the neuron can be compensated by non-mandatory monitoring constraints (i.e., the forehead position below the hairline, such as Fp1, Fp2, F7, F8 and / or Fz), opposite to the standardized position, such as (but not limited to) EEG positions that are traditionally used for EEG sleep monitoring parameters (i.e., including F4-M1; C4-M1; O2-M2; alternative monitoring electrodes include F3-M2; C3-M2; O1-M2 sleep monitoring electrode positions).

[0316] -The EEG signal compensation transmission characteristics mentioned above include a method for simulating EEG signal characteristics, similar to another "specified alternative location" or "traditional location";

[0317] - The determination of the "specified alternative location" may include forward or reverse source location calculation;

[0318] - Based on empirical data studies comparing EEG signal characteristics at different EEG locations during sleep, the determination of the "designated alternative location" may include transfer characteristics to enable the transformation of the required relationships and associated transfer functions.

[0319] -The EEG signal at the first monitoring location can be processed by a transfer function, which can generate (model) a dataset suitable for approximate data settings at the second monitoring EEG location;

[0320] -The transfer function is modeled to most accurately simulate the data applicable to the second location of differential sleep stages (i.e., AASM or R&K sleep rating recommendations);

[0321] This invention enables comprehensive online signal monitoring and sleep stage analysis, and continuous operation of measures (including the ability to access real-time samples through sampled or periodically sampled real-time monitoring information, to calculate measurements indicating continuous, uninterrupted raw data, not just summaries or compressed versions of the data, so as to achieve diagnostic quality and industry standards) (e.g., ASSM and / or R&K scores for human sleep, breathing, and other related aspects), as well as the ability to generate accurate measurements of monitored sleep variables, derive measurements of sleep progress, performance, and state (e.g., other sleep measurements, but not limited to, such as those further outlined in the "Physiological and / or Sleep and / or Wakefulness Markers" section and other parts detailed in other parts of this document), and also supports online remote or local online analysis capabilities.

[0322] - At any time during the subject's sleep or related wakefulness, using a patient-worn or mobile or remote computer device or information access system, the analysis and monitoring functions can be updated online or virtually in real time, allowing the individual to read the display indicators (including wireless links to sleep parameter (i.e., EEG, EMG and / or EOG) monitoring systems));

[0323] This invention enables wearable mobile monitoring systems comprising devices for monitoring and managing wakefulness and / or sleep health, said devices comprising (but not limited to) any one or a combination thereof described in other parts of this patent application, including: a) a forehead-applied physiological monitoring sensor; b) a reusable or disposable sensor; c) a reusable or disposable sensor auto-reload dispenser; d) continuous online monitoring of sleep parameters (EEG, EOG, EMG) and sleep analysis; e) wearable monitoring; f) an exchangeable / interchangeable portion with dynamic data exchange; g) infrared respiratory or body thermal flux monitoring; h) body position and / or position and / or movement; i) movement and / or motion; j) a pulse oximeter; k) a PPG, further as described below:

[0324] a) Physiological monitoring sensors applied to the forehead

[0325] - The present invention is capable of implementing the monitoring of one or more physiological monitoring sensors applied to the forehead, and has the option to derive multiple sleep parameters from any one or more of the sensors;

[0326] - The options for monitoring “sleep parameters” include any one or a combination of EEG, EOG, EMG and / or ECG;

[0327] - The options for the "sleep parameters" mentioned therein include any one or a combination thereof under the subheadings described in further detail in other parts of this patent application, titled: eLifeKIT: and titled: eLifeCHEST / eLifeSCOPE (chest strap) ( Figure 5 [3];[4]; Figure 16 ; Figure 31 );

[0328] - Options for applying electrodes to the forehead, which may include partial or full head, forehead and / or face coverage;

[0329] - Selection of self-adhesive forehead bands where no pressure interface is required to achieve high-quality electrode connections for monitoring sleep parameters of the patient / subject forehead;

[0330] - Options include a disposable self-adhesive forehead applicator strap; b) reusable or disposable sensors.

[0331] This invention provides an option for a disposable self-adhesive forehead band with an electrode dispenser that automatically discards the old sensor and replaces it with a new one;

[0332] c) Reusable or disposable sensor auto-reload dispenser

[0333] The present invention provides an option for a disposable self-adhesive forehead application band with an electrode dispenser that can automatically discard old sensors and replace them with new ones, thereby the sensor dispensing device being part of a new packaging system for self-adhesive sensors.

[0334] The present invention provides an option for a disposable self-adhesive forehead application band with an electrode dispenser that can automatically discard old sensors and replace new ones, wherein the sensor dispensing device is part of a packaging system for a new set of self-adhesive sensors, and wherein the dispensing device includes (but is not limited to) any one or a combination thereof: a) the ability to replace monitoring sensors from the forehead monitoring band; b) a sensor dispenser and dispensing process capable of removing and securely storing or containing used sensors while or subsequently using new sensors, optionally single-push, discarding old sensors and reloading new sensors;

[0335] For example, a forehead sensor band can be pushed into and then retracted from the sensor dispenser device. (For example, a spring-tensioned dispenser can push a new replacement sensor onto the forehead sensor holder while the used sensor is peeled off and discarded.) The reloaded sensor and forehead sensor can then be ejected with a single press of a pop-out button / lever to access the reloaded sensor system.

[0336] In this way, the packaging of disposable electrodes can be loaded into the sensor reloading device, which, in a single push operation, allows the used sensor to be peeled off and discarded from the Somfit device, while the backing paper of the new sensor is peeled off and ready to be adhered to the Somfit device. Then, during the insertion of the Somfit insert into the sensor dispenser device, another additional spring-loaded device is activated in the lower limb to apply pressure to the new sensor (now with the backing paper peeled off) via the sensor spring-loaded device. Finally, spraying Somfit from the sensor dispenser device can result in the loaded sensor having the option of transmitting a quality control code from the dispenser device to verify operation and transmit warranty violation and risk codes indicating the use of counterfeit sensors.

[0337] This invention provides continuous and uninterrupted monitoring of sleep parameters, including (but not limited to) any one or a combination of EEG, EMG, EOG monitoring, for online accurate, continuous, and uninterrupted sleep / wake process mapping and related sleep quality determination and guidance, and / or smart clock interface (i.e. watch or alarm clock settings).

[0338] d) Continuous online monitoring of sleep parameters (EEG, EOG, EMG) and sleep analysis

[0339] This invention provides continuous EEG monitoring with correlation analysis, capable of determining periods (time segmentation) and period-based sleep stages (i.e., e.g., but not limited to wakefulness, N1, N2, N3, REM) and / or sleep events (i.e., e.g., but not limited to axis, k-complex, vertex wave, alpha burst, body movement, arousal, etc.), and / or sleep measures (i.e., not limited to, but not limited to, measures covered in the following sections), or indices (i.e., but not limited to, sleep efficiency / SE, post-sleep attack arousal (WASO)), respiratory event-related arousal / RERA, treatment event-related arousal / TERA, apnea / dyspnea index / AHI, sleep disorder index / SDI, respiratory disorder index / RDI, sleep fragments, percentage and number of each sleep stage, total sleep time / TST, sleep-induced hypopnea, delayed sleep syndrome delay factor, daytime sleepiness / RDS, arousal index / AI, degree and other sleep measures, such as, but not limited to, sleep disorders or other related events (including but not limited to the related event "DONIFITION", as described elsewhere in this document);

[0340] -The defined period includes dividing the data into time intervals such as 30 seconds;

[0341] -The period-based sleep stage determination may include local (microprocessor device or DSP system that forms part of the monitoring sensor or device) and / or available communication media, networks or other interconnection options (including simultaneous with additional or supplementary communication networks, system interconnection or other interconnection options, such as WWW, IP, LAN, WAN, supplementary / accompanying monitoring / sensing or computing systems, SaaS, including cloud computing services or NAS, peer-to-peer connections, etc.).

[0342] e) Wearable monitoring

[0343] According to Figures 1 to 94 For example, the wearable monitoring (including mobile wireless connectivity option) device or related system described in this invention may include any one or a combination of the monitoring embodiments;

[0344] f) Exchangeable / interchangeable parts with dynamic data exchange

[0345] This invention includes means for connecting and / or replacing components between two or more wearable devices / systems as a method for accessing information, applicable to sleep health and overall health. This invention also includes any one or a combination of the following:

[0346] - The “connection method” may include any one or a combination of the following: connection to available communication media, networks or other interconnection options (including simultaneous connection to additional or supplementary communication networks, system interconnection or other interconnection options, such as WWW, IP, LAN, WAN, supplementary / accompanying monitoring / sensing or computing systems, SaaS, including cloud services or NAS, peer-to-peer connections, etc.), various data communication channels and / or different media, cellular networks, optical communication networks, Wi-Fi, Bluetooth, satellite, SMS, copper communication networks, pager alarms, automatic telephone alarms, calendar updates, social or business information interfaces, etc.

[0347] - The "interchangeable / interchangeable components" may include electronic components or components thereof of a first wearable device with a connection device (i.e., but not limited to magnetic interlocking, mechanical interlocking, adhesive interlocking, material or substance interlocking, etc.) or interconnection with a second wearable device and / or other nearby devices.

[0348] - The “methods for making information accessible for sleep health and general health” may include combining, sharing, exchanging indications, displaying, storing data, processing data, and deriving indexes based on sleep monitoring parameters or related measurements (e.g., EEG, EOG, EMG, breathing sounds, room or ambient sounds, room lighting conditions, airflow, reflective plethysmography, blood glucose measurements and related outputs (pulse wave amplitude / PWA, pulse arterial sound / PAT, pulse arterial pressure / PTT, pulse wave oscillations, autonomic markers, obstructive apnea, to achieve central vs. obstructive differentiation (i.e., increased activation of respiratory muscles causing additional blood flow, which in turn manifests as discernible oscillations or amplitude fluctuations, which can be detected using event extraction techniques such as signal morphology, spectroscopy, etc.), and other monitored sleep parameters or related measures outlined elsewhere in this document) and other health monitoring parameters or related measurements;

[0349] - In this invention, "separate or combined sleep and / or other health and / or health measures and / or information" can be indicated or displayed as part of any wearable device (i.e., wrist device, watch, clock, etc.);

[0350] - The “methods for making information accessible to sleep health and general health” may include dynamically exchanged (i.e., dynamic data exchange / DDE) data, which includes any of the “single or combined sleep and / or other health and / or health measures and / or information” or other health conditions or progress;

[0351] g) Infrared respiratory / hot airflow or body heat flux monitoring

[0352] The present invention may include one or more "attached infrared" respiratory monitoring sensors and / or skin heat flux monitoring centers (capable of measuring energy or calorie burning / body metabolic activity through the body's energy consumption on the skin surface);

[0353] Infrared sensor / lens

[0354] In one embodiment, the invention may include one or more infrared sensors with an option of associated lenses, which are combined in a sensor-in-place manner as part of a localizable forehead sensor and a sensor for detecting the subject’s breathing and associated respiratory disturbances.

[0355] Infrared lens

[0356] The "infrared sensor" can be combined with one or more lens systems that can focus on respiratory thermal changes related to inhalation and exhalation of the subject's oral cavity and / or nasal cavity toward the direction of the infrared sensor.

[0357] Infrared heat

[0358] The "infrared sensor" may include a thermal sensor, which includes (but is not limited to) any one or a combination of photodiodes, photoconductors, photovoltaics, and thermoelectric types.

[0359] Photon

[0360] The “infrared sensor” may include photons (photodetectors), which include (but are not limited to) any or a combination of charge-coupled devices or active pixel sensors (CMOS);

[0361] h) Body posture and / or position and / or movement

[0362] This invention may include one or more subject / patient body / position sensors;

[0363] i) Movement and / or action

[0364] The present invention may include one or more motion and / or movement sensors (i.e., but not limited to one or more axis accelerometers), which are described in detail in other parts of the “Attitude, Position and Motion Detection and Monitoring” section;

[0365] j) Pulse oximeter and / or PPG

[0366] - This invention may include one or more additional photoplethysmography (PPG) sensors and / or a reflective pulse oximeter with plethysmography functionality options, as detailed in other parts of "Plethysmography Oximeters and / or Pplethysmography (PPG)".

[0367] k) Monitoring of hot airflow connected to the forehead, head, or body

[0368] - Wearable sound monitoring (i.e., but not limited to microphones connected to the forehead, head, or body) that combines breathing sounds (i.e., but not limited to microphones) with other physiological signals (i.e., thermal airflow monitoring, including but not limited to infrared sensors that can track airflow temperature changes in relation to the breathing subject / patient) as a way to distinguish other interested parties (i.e., but not limited to a sleeping spouse snoring) from the subject / patient / user.

[0369] - This invention combines one or more wearable monitoring systems (i.e., but not limited to head-mounted or application devices with sound or thermal monitoring sensors) and / or one or more microphone sensors capable of distinguishing two or more sound sources to detect the breathing sounds of one or more subjects / patients / individuals / users;

[0370] -Methods for monitoring breathing sounds (i.e., monitoring any or any combination of sounds, airflow, and thermal breathing characteristics associated with the subject / patient / user's inspiration and / or breathing and / or nasal inspiration and / or oral suction) may include tracking changes in the magnitude of breathing or breathing cessation, in cases of dyspnea (e.g., but not limited to reduced breathing over a period of time) and / or apnea (cessation of breathing over a period of time) and / or hypoxia (i.e., but not limited to, sustained reduced breathing), as well as other sleep-disordered breathing.

[0371] - Such monitoring may include methods for determining one or more sleep / wake states or phases of the subject / patient / user;

[0372] l) A frontal sensor with multiple physiological parameters suitable for the diagnosis and prognosis of the subject / patient's true balanced sleep / wake cycle and related sleep disorder factors;

[0373] This invention provides a wearable forehead sensor (one or more sensors and / or electrophysiological electrodes) strip detection system, including a method for monitoring any one or a combination of sleep parameters (i.e., EEG, EOG, EMG), and for monitoring, determining, and / or tracking any one or a combination of the following (but not limited to): monitoring of sleep apnea and determination of related events (i.e., microphone and / or thermal respiration measurement - i.e., infrared respiration detection), and / or ambient light sensing (i.e., a photoresistor capable of calculating sleep efficiency and other measures).

[0374] - Body temperature measurements suitable for estimating, determining, or facilitating calculations of the biological clock cycle;

[0375] - One or more “clocks” are determined (including biological clock (CC) factors (and any or any combination of themes / personal travel, work, social, relationship, schedules) (i.e. (not limited to) any or any combination of sleep / wake, work, social activities, leisure, relaxation, exercise or workout activities, calendar, itinerary, schedule, requirement, “clock” refers to a daily or weekly schedule based on an individual’s social schedule (i.e., “social clock”) or work schedule (i.e., work clock) or travel schedule / timetable (travel clock) etc.);

[0376] - Determining environmental time (i.e., accessing information via built-in GSM, GPS, or interconnection with mobile devices, clocks, clock settings, clock or time applications, etc.); - Monitoring, identifying, and / or tracking activity or motion detection as a measure of manipulation and / or patient location;

[0377] - Factors such as circadian rhythm cycles or shifts, related to environmental clocks, time zone conditions and / or other applicable subject / user time factors (i.e., determining social clocks, work clocks, leisure clocks, sleep / wake clocks and their consequences, including risks of lack of synchronization or impact on sleep quality along with the biological clock (i.e., due to asynchronous relationships with the biological clock), risks of sleep impulses (i.e., the consequences of previous sleep / wake history information), sleep duration and sleep quality risks due to biological clock shift factors, etc.);

[0378] - The ability to process analog or digital signals of sound envelope (i.e., the ability to track sound envelopes, where memory and processing requirements are otherwise prohibitive in terms of processing high-bandwidth sound waveform signals, for example, (i.e., before or after data acquisition or signal processing or memory storage, because of the data reduction mechanism used for sleep apnea monitoring, thus allowing the extraction of sound envelopes).

[0379] - Combine with another option for the frontal oximeter (including the option of plethysmography, which has a reflex that derives from the oximeter output function, including any or a combination of the characteristics of pulse wave amplitude (PWA), pulse arterial pressure (PAT), plethysmography amplitude, which serves as a method to distinguish obstruction (i.e., generating oximeter plethysmography waveform oscillations that correspond to the obvious autonomic disturbances during obstructive sleep apnea autonomic disorder)).

[0380] - Wearable forehead band sleep monitoring systems containing active circuitry can be interchanged between wrist-based monitoring systems (i.e., including motion, position, stride (including interaction with mobile phone motion detection as a measure of stride and arm movement symmetry and / or applicable to synchronicity of motor or neurological disorders, such as Parkinson's gait dysfunction)).

[0381] -The subject's / patient's physiological or motion monitoring, or any combination thereof, can be monitored and determined by using multi-axis accelerometers to characterize the subject's motion, body movement, or body vibration (i.e., any one of these (i.e., spectral segmentation of the primary energy band of various monitored targets), such as gait / fall / cardiac patterns; gait symmetry or synchronicity between the subject's limbs or the body) or by multiple single-axis or multi-axis accelerometers, including any one or a combination of the following:

[0382] 1) Cardiopulmonary spherical imaging, for example, by sensing changes in the heart pulse;

[0383] 2) Subject / Patient's body position / posture;

[0384] 3) The main gait or stride characteristics, including but not limited to the stride symmetry or synchronicity between the main lower or upper limbs and the body, which are applicable to tracking activities or obstacles (i.e., Parkinson's disease);

[0385] 4) Determine the subject / patient's walking, jogging, or running steps;

[0386] 6) Determining whether a fall / tripping / falling is caused;

[0387] - Methods for "monitoring and / or characterizing subject motion, body movement, body vibration" using multi-axis accelerometers may include any one or a combination of the following:

[0388] The first step includes: subject monitoring with one or more physiological signal channels, including those sensor monitoring channels for motion detection (i.e., accelerometers with one or more axes), pressure sensor channels, such as measuring axiograms, pulse, or intraocular pressure to measure changes in vascular pressure.

[0389] The second step (sensor signal processing) includes:

[0390] One or more signals from a single-axis or multi-axis accelerometer (i.e., 3-axis or more axes, but not limited to) signal processing (i.e., accelerometer amplification and / or filtering);

[0391] The third step (acquisition) includes:

[0392] Acquisition (i.e., acquiring digital data via analog signals or according to sensor formats or requirements);

[0393] Step 4 (S) includes any one or a combination of analyses, including (but not limited to) analysis options present in other parts of this document, including but not limited to... Figures 1 to 99 Further details are provided, but are particularly relevant to best practices, including the identification of analytical variables or motor analyzers that evoke Parkinson's symptoms and / or combined SBD sleep behavior disorder for GAIT. Figure 45[5]); excessive movements associated with REM without lack of tension during RBD, or excessive movements associated with restless legs syndrome, or such as Figure 75 The descriptions are related to muscle processing disorder fibromyalgia

[20] ;

[22] ); and further detailed under the headings “Motion detection and / or body movement recorders”, “REM sleep behavior disorder (RBD)”, “Pulse sensor integrated watch for other wrist wear devices (bands or bracelets)”, “Pulse wave analysis (PWA) and pulse wave velocity (PWV) monitoring and analysis capabilities”, “PWA and PWV sensors”, “Pulse wave analysis (PWA) sensor measurements”, “Spherical electrocardiograph”, “Posture, position and motion perception and monitoring”, “Motion and position information”, “Gait or motion tracking and representation of events of interest”, as covered in other sections of this document “eLifeCHEST / eLifeSCOPE”.

[0394] The additional fourth step (analysis-spectral options) involves analyzing the outputs of two or more sensors, amplitude or power, including FFT or other monitoring spectra, morphology / patterns, signal dynamics (i.e., NLDB), consistency (or other analytical correlation or variation methods), which are designed to characterize subject motion, body movement, body vibration, in terms of the signal source (i.e., in terms of segmented motion signals, based on motion characteristics associated with the relevant motion source, such as stride symmetry and / or synchronicity of arm movement), applicable to motor or neurological disorders such as Parkinson's gait dysfunction; fall detection; Activity associated with primary RBD (i.e., REM sleep, without abnormalities); gait; movement; hyperkinesis (exaggerated unwanted movements), such as twitching or writhing in Huntington's disease or Tourette syndrome; tremor or other movements; diagnosis and treatment of movement disorders, including Parkinson's tremor, restless legs syndrome, dystonia, Wilson's disease, or Huntington's disease; bradykinesia (i.e., slow movement) and movement disorders (i.e., reduced voluntary movement; involuntary movement), wherein any or a combination of any analytical techniques covered in other parts of this document, including but not limited to Figures 1 to 99 However, it is particularly suitable for best-case scenarios, including analytical variables or motor analyzers applicable to GAIT, including Parkinson's symptoms and / or combined SBD sleep behavior disorder assessments. Figure 45 [5]); excessive movement associated with REM without lack of tension during RBD, or excessive movement associated with restless legs syndrome, or with muscle processing disorders such as Figure 75The fibromyalgia shown

[20] ;

[22] ); and also "Motion detection and / or movement", "REM sleep behavior disorder (RBD)", "Pulse sensor complex table for other wrist-worn devices (bands or bracelets)", "Pulse wave analysis (PWA)" and "Pulse wave velocity (PWV) monitoring and analysis capabilities", "PWA and PWV sensors", "Pulse wave analysis (PWA) sensor measurements", "Spherical electrocardiograph", "Location, position and motion detection and monitoring", "Motion and location information", "Gait or motion tracking and representation of events of interest", and other sections covered in this document "eLifeCHEST / eLifeSCOPE". The fourth step, where motion and / or patient position analysis techniques include any one or a combination of analysis techniques covered by other parts of this document, including but not limited to “Posture, Position and Motion Sensing and Monitoring,” “Motion and Position Information,” and “Gait or Motion Tracking and Representation of Related Events,” which are covered by other parts of the “eLifeCHEST / eLifeSCOPE” document, allows these analyses to be applied to any one or a combination of sensor outputs (i.e., including multiple accelerometer axes).

[0395] The fourth step may include the position (based on vertical or horizontal positioning degree) output of the gyroscope sensor as a measure of the subject's / patient's gait and / or smoothness and / or staggered stride or walking, wherein the motion and / or patient position analysis techniques include any one or a combination of analysis techniques covered by other parts of this document, including but not limited to the content further detailed under the heading "Posture, Position and Motion Detection and Monitoring," covered by other parts of this document "eLifeCHEST / eLifeSCOPE";

[0396] Step 5

[0397] The analysis results can be deployed as part of the prognosis or diagnosis determination for a subject / individual; > Step 6: The analysis results and / or related results can be disseminated through messages, events, calendar information or data access, information networks (social, work, professional, etc.);

[0398] Determination of physiological temperature cycles relative to local environment and / or sleep / wake / activity / work

[0399] -Based on biological clock input factors, covering a range of scenarios involving sleep quality and length, a component of the personal health management system of the present invention is designed to automatically determine and instruct, train, alarm, send messages applicable to the subject / patient / user, and provide biological clock transition stimuli applicable to the subject / patient / user, relating to the interaction or manner between the subject and their natural biological clock;

[0400] - Furthermore, based on the subject's health supervision or intervention and / or personal preferences or requirements and / or occupational hazards and safety considerations, the present invention can provide many transition scenarios, such as using the subject's wearable device or ambient lighting intervention as a method to advance or delay the subject's phase response curve (i.e., the diurnal phase relationship established with external clock factors, including social, time zone, work, work shift, study requirements, etc.), which are suitable for minimizing delayed sleep phase disorder (DSPD) or late sleep phase disorder (ASPD).

[0401] - This invention can automatically or manually activate the intensity and type of light (i.e., compared with long-wavelength light, visible blue light with short wavelength and stronger melatonin-inhibiting effect can be deployed as part of an automatically calculated biological clock switching treatment program) and the timing function of this phototherapy (i.e., phototherapy at night can delay the biological clock phase, while phototherapy during the day can promote the forward shift of the biological clock phase).

[0402] - This invention can automatically (or with manual intervention options) control switching factors (i.e., lighting time and / or lux intensity and / or melatonin dosage and administration time or recommendations) based on the social, work, travel requirements or environmental factors of the subject / patient (or medical consultant), as well as the option to recommend or set sleep time or alarm clock settings.

[0403] - This invention can select or personalize the scenario selection (i.e., make more active adjustments in a shorter time or moderately adjust the biological clock over a longer period of time) according to the subject / patient / user preferences, and suggest / guide and / or automatically adjust the biological clock transition.

[0404] -This invention can automatically access travel schedules and is based on any or a combination of these or other circadian rhythms and sleep homeostasis factors:

[0405] Sleep duration

[0406] Sleep time

[0407] Bedtime;

[0408] Sleep quality;

[0409] Sleep urges or deprivation;

[0410] Work clock, social clock;

[0411] >CC phase offset and any other clock described:

[0412] Alarm settings:

[0413] >Map applications with visual annotations showcasing various travel itineraries and the potential consequences of circadian rhythm adjustments, such as the different time zone factors between East-West and West-East travel.

[0414] In one embodiment, the invention is capable of automatically accessing or connecting travel information relating to one or more travel itineraries as a method for generating optimal travel itineraries, based on various travel schedules, such as based on circadian rhythm switching options or optimal subject / patient / user performance results, in terms of the subject's peak energy circadian rhythm level or the subject's optimal sleep time and / or sleep duration.

[0415] Regarding the prioritization of these factors, various alarm clock planning scenarios prioritize these factors based on the subject / patient / user, and the schedule interface is based on user preferences for travel plans;

[0416] Various mapping applications, including annotations or related information about biological clocks related to other environmental clocks such as time zones, social factors, work, sleep deprivation impulses, sleep duration, and sleep quality;

[0417] >Based on the subject / patient / user prioritizing these factors, the alarm clock planning scenario takes sleep into account and is tailored to the biological clock for personalized subject / patient / user preferences, which corresponds to social clock, work clock, solar clock, time zone clock, sleep duration, sleep quality, bedtime and sleep time;

[0418] This invention is capable of measuring ambient lighting conditions applicable to a subject / patient / user (i.e., via wearable devices such as watches, mobile devices, etc.) to provide counseling or guidance for treating winter depression or other forms of depression or delayed sleep phase disorder (DSPD) or compensating for the shift between the circadian rhythm and the environment (i.e., time zone or solar clock factors or behavioral clock attributes (i.e., social clock, work clock, shift, travel / jet clock, clock and related requirements or schedule / timetable preferences)). The counseling may include treatments for the shift in the circadian rhythm (i.e., light therapy, melatonin medication, adaptation to homeostasis factors (i.e., optimal growth of the subject / patient / user's waking hours to allow the circadian rhythm to have higher quality sleep and sleep pattern alignment, and vice versa)).

[0419] This invention can automatically integrate all biological clock switching factors, indication aspects, alarm clock functions, light detection functions, guidance and / or message sending and / or alarm clock functions into a single application as part of a wearable or mobile device.

[0420] In order to optimize the biological clock transition, this invention can identify factors of the biological clock trough (i.e., body temperature and / or the interval from the body temperature trough to sleep shift) including subjects / patients / users suffering from delayed sleep phase syndrome (DSPS). (i.e., in order to minimize the salient or obvious nature of this treatment, based on the shadowed or obstructed upper part of the glasses, the phototherapy includes glasses that project blue light onto the retina of the subject / patient / user as a stimulus - which can prevent the form of forward projection). Thus, exposure before the trough of the core body temperature rhythm can produce a phase delay, while phototherapy applied after the trough (bright light therapy) can cause a phase shift.

[0421] This invention can track sleep-wake rhythms and characterize diurnal rhythm patterns lacking clearly discernible sleep-wake times, serving as a marker or potential prognosis for irregular sleep-wake rhythms.

[0422] This invention may include sleep-wake rhythms and circadian rhythm patterns lacking clearly identifiable sleep-wake times, and / or questionnaire results associated with excessive sleepiness, sleep deprivation, and / or insomnia, which, based on work schedules, serve as markers or potential prognoses for shift work disorder (SWD); circadian rhythm algorithm: circadian rhythm autoregression analysis modeling and background analysis.

[0423] While traditional scientific laboratory measurements of circadian temperature cycles imply core body measures, which are generally unsuitable for routine or diurnal monitoring (rectal temperature probe monitoring), a key aspect of this invention is the ability to derive an individual's (subject / patient / user's) natural endogenous (endogenous) circadian temperature rhythm through autoregressive analysis modeling of circadian rhythms from one or more external inputs (CRX).

[0424] The automatic regression analysis modeling of circadian rhythms may include scenario analysis;

[0425] a) Circadian rhythm processing: Context analysis

[0426] In one example of a single model embodiment, the contextual analysis (not limited to) may include inputs to the model, including individual endogenous circadian rhythm clock information, and may include (but is not limited to) any one or a combination of the following:

[0427] b) Circadian rhythm input: Investigating or tracking subject / patient information

[0428] -Based on the survey or tracking subject / patient information, data entered by the patient or other person, such as sleep tendency or somnolence information, for example with the Epworth Sleepiness Scale or other surveys / scales / measures, or routine sleep, wakefulness, work, recreation and / or other activity programs, similar data from applications such as health apps or calendars, schedulers, health apps, wearable or mobile devices, etc.

[0429] c) Input to the circadian rhythm algorithm: Sleep research information

[0430] Data can be accessed or entered automatically, manually, or with computer assistance in relation to sleep research information;

[0431] d) Input for circadian rhythm algorithm: sleep monitoring research or application

[0432] Data can be accessed or entered manually or with computer assistance, and this data relates to sleep monitoring research or applications in connection with the monitoring, system, application or other application capabilities of the present invention (i.e., such as, but not limited to, other details in this document).

[0433] e) Circadian rhythm algorithm input: Information related to fitness, health monitoring, and / or related applications

[0434] - Information related to fitness, health monitoring and / or related applications in connection with the monitoring, system, application or other application capabilities of the present invention (i.e., such as, but not limited to, other overviews in this document); data access, automatic input, manual input or computer-aided or related derived data.

[0435] f) Input to the circadian rhythm algorithm: Information or data derived from sleep, fitness, or other health applications, devices, and / or systems.

[0436] Information or any combination of information derived therefrom, such as (but not limited to) clocks or mobile phones or other software applications or systems containing information related to the subject / patient's activities, movements, work, sleep, wakefulness, alarms, schedules or travel or time data;

[0437] g) Input for the circadian rhythm algorithm: local or new timezone information

[0438] Local or new time zone information (i.e., but not limited to GSM, GPS, radio clocks or other timing sources);

[0439] h) Circadian rhythm output: Phase shift between the built-in biological clock and the local environmental time zone

[0440] In one example of the model in one embodiment, the output of the context analysis model may (but is not limited to) include any one or a combination thereof:

[0441] - Phase shifts between inland circadian rhythms and local environmental time zone attributes or related topics / patient schedules or required journeys and / or time cycles;

[0442] i) Circadian rhythm output: providing guidance or recommending the best alarm clock or schedule.

[0443] - Based on any or any combination of the model inputs - tutoring or recommendation of the best alarm clock or scheduling or time management aspects;

[0444] j) Circadian rhythm algorithm processing: Automatic or automatic evaluation of local or new environmental ecological clock / rhythm autoregression estimates

[0445] Natural autoregression estimation or the subject's / patient's biological clock / rhythm;

[0446] Automatic regression estimation of the biological clock / rhythm of the subject / patient in local or new environment;

[0447] k) Circadian rhythm algorithm processing options: Automatic regression estimation / measurement of wearable or connected temperature sensors / probes, where low-pass filtering can emphasize the low-frequency cyclical changes of natural / built-in or new environmental circadian rhythm states or requirements.

[0448] Autoregression analysis could be performed using wearable or connected temperature sensors / probes, where low-pass filtering can highlight low-frequency cyclical variations (i.e., 24-hour diurnal core temperature variations, which correspond to external environmental factors or short-term activities or exercise that are largely independent of diurnal core temperature variations).

[0449] l) Input to the circadian rhythm algorithm: "External input", including the derivation of the natural biological clock.

[0450] The “external input” may include (but is not limited to) any one or a combination of the following:

[0451] - Natural or derived biological clock (i.e., any one or any combination of temperature measurement and / or EEG measurement);

[0452] m) Input for circadian rhythm processing: New environment or time zone 24-hour cycle

[0453] - New environment or time zone 24-hour cycle (i.e., determined based on GSM, GPS, radio clock, mobile phone or watch, etc.);

[0454] n) Input to the circadian rhythm algorithm: actual sleep / wake cycles monitored during sleep.

[0455] - Actual sleep / wake cycles monitored by the subject / patient (including but not limited to sleep parameters (i.e., but not limited to any or a combination of EEG, EOG, EMG measurements and related sleep stages or sleep cycles or sleep phase sequence diagrams));

[0456] o) Input to the circadian rhythm algorithm: Existing known knowledge based on the correlation between sleep / wake cycles.

[0457] - Based on existing known knowledge about the relationship between sleep / wake cycles and natural circadian rhythms and / or sleep cycles and / or core body temperature cycles (i.e., low core temperature during REM sleep, etc.).

[0458] Categorized knowledge (i.e., information on each accumulated knowledge and knowledge transfer, instances of self-learning ability of each artificial intelligence or expert system, knowledge base, real-world inputs, inference engine, and workspace): Figure 78 ; Figure 79 , middle block; to Figure 80

[12] ,

[13] ,

[14] ) are based on subject / patient associations between sleep / wake cycles and natural circadian rhythms and / or sleep cycles and / or core body temperature cycles (i.e., low core temperature during REM sleep, etc.).

[0459] p) Input to the circadian rhythm algorithm: "Wearable or connectable temperature sensor / probe"

[0460] The “body wearable or connectable temperature sensor / probe” may include any one or a combination of one or more temperature sensors embedded or linked as part of an earphone / earbud having the combined audio monitoring functionality described in other parts of this patent. Furthermore, the invention may further describe the detection of the current ambient temperature by positioning an external temperature using a thermistor (i.e., one or more temperature sensors incorporated as part of any one or a combination of wearable devices / probes) (i.e., watches, mobile phones, earbuds, chest wall monitors, armband monitors, head, limbs, body openings, etc.).

[0461] q) Circadian rhythm algorithm processing options: depicting brief or short-term fluctuations in the body.

[0462] Furthermore, to further describe transient or short-term fluctuations in body temperature (such as due to physical exercise) and core circadian rhythm-related temperature, the invented CRX analysis can compare and contrast heat flux measures relative to the external environment, relative to core body temperature, and relative to skin temperature measurements (i.e., a temperature probe just above the skin surface can reflect the heat flux emitted from the skin surface, which is more indicative of body temperature than a deeper earplug device, but less closely correlated with body temperature changes than an external ambient temperature sensor, to name just one example).

[0463] Day and night temperature

[0464] Circadian rhythm algorithm processing options: Wearable health monitoring and / or tracking systems / devices

[0465] This invention provides a circadian rhythm function within a wearable health monitoring and / or tracking system / device, wherein the function includes any one or a combination of the following:

[0466] a) Circadian rhythm algorithm: Monitors physiological variables, correlated with natural (built-in) wearable health monitoring, tracking, time management factors, determination of subject / patient local time and / or guidance, and / or current or required routine sleep / wake / work / leisure cycles.

[0467] Methods for monitoring physiological variables related to natural (built-in) or relevant factors (i.e., sleep / wake) and / or desired time management factors (external, such as wakefulness, sleep, work, leisure, etc.) and related time or performance management needs) that affect the "built-in" circadian rhythm (i.e., EEG, temperature, sleep / wake phases or related cycles; noise, activity, etc.).

[0468] b) Circadian rhythm algorithm output: "Free-running" or "Built-in circadian rhythm cycle"; Method for determining whether the subject / patient is "free-running" or "Built-in circadian rhythm cycle" (i.e., by analyzing circadian rhythm physiological parameters monitored for potential circadian trend properties);

[0469] c) Circadian rhythm algorithm processing options: Determine and / or the local time and / or current and / or required and / or optimal routine sleep / wake / work / recreation cycle of the subject / patient.

[0470] Determine and / or guide the subject / patient's local time and / or current or required routine sleep / wake / work / leisure cycle through means such as clocks, watches, subject / patient information or other accessible or input information related to these factors, i.e., alarm clocks, time zone clocks, GPS or GSM location information, sleep questionnaires / surveys, etc.

[0471] d) Circadian rhythm algorithm processing options: Compare and / or contrast the synchronization of the subject's / person's natural "built-in" circadian cycle with environmental time zone factors.

[0472] Methods for comparing and / or contrasting the synchronization of a subject's / person's natural "built-in" circadian rhythm at any time, based on the subject's / patient's needs or the sleep / wake cycle requirements or expectations of the current or new environment.

[0473] e) Circadian rhythm algorithm processing option: Analyze the phase difference related to the "built-in" natural current or the desired sleep / wake cycle time.

[0474] Methods for analyzing the phase difference between the so-called “built-in” natural time and the current or desired sleep / wake cycle time (i.e., any or a combination thereof, via tables or graphs, user interfaces or interactive user interfaces, vibrations or sounds or other notifications or alarms, via clocks or observation surfaces, overlaid or linked to or associated with the circadian “built-in” clock and / or any other clock or timing information) in order to produce a measure of the circadian rhythm “built-in” and “desired” offset time factor.

[0475] f) Circadian rhythm algorithm output: Provides external circadian rhythm stimuli

[0476] Means of providing external stimulation (i.e., wearable devices, environmental factors, temperature changes in the bed or bedding or bedroom, etc., or temperature changes in light accompanied by associated power and / or color and / or illumination frequency).

[0477] g) Circadian rhythm algorithm output: "Circadian shift time factor"

[0478] The method of incorporating the "day-night shift time factor" measure, as part of the biofeedback or control decision matrix applied to the external stimulus by the subject / patient, aims to minimize the "day-night shift time factor".

[0479] h) Input to the circadian rhythm algorithm: The connected temperature sensor is used for circadian rhythm determination.

[0480] This invention may include one or more connected temperature sensors for circadian rhythm determination and / or (but not limited to) other optional plethysmography physiological measurements, such as the temperature section of eLifeCHEST / eLifeSCOPE or the eLifeBUDS section, and further detailed in the description of temperature monitoring and analysis herein.

[0481] circadian rhythm EEG

[0482] This invention relates to positive equations for EEG brain region monitoring, including circadian rhythm function. It includes positive equation source localization, such as (but not limited to) monitoring and deriving relevant measures relating to the subject's / patient's natural circadian rhythm, including (but not limited to) monitoring relevant brain regions (i.e., the suprachiasmatic nucleus (circadian rhythm) region). These measures are applicable to circadian rhythm EEG periodic signals (e.g., for determining the subject's / patient's circadian rhythm).

[0483] In one embodiment example, the configuration of the EEG sensor-based monitoring system (i.e., but not limited to) Figures 1 to 3 , Figure 5 , Figure 14 , Figure 16 , Figure 21 , Figure 23 , Figure 25 , Figure 27 , Figure 28 , Figures 46 to 55 (Example), this system is coupled with the monitoring target and associated wearable monitoring minimization computation of the present invention ( Figure 45This invention is capable of calculating and determining sensitivity and / or filtering and / or other forms of processing (including any or a combination of NLDBTV, STV, SR, ER, ER clusters, SR clusters, spectral EOI, interconnects, e.g., coherence and / or dipole sequences and / or associated groups, sequences and / or wholes) and / or neurological amplitude, power, morphological signals or values) in the context of optimal positive equations, coupled with corresponding neural pathways (or applicable bodily physiological pathways) to most effectively “guide” or locate anatomically relevant sources of interest. (i.e., biological clock EEG signals, for example, to help determine the human sleep-wake cycle, which can be used as part of therapeutic drugs, light therapy or other sleep coaching or recommendation cues to re-align the subject / patient's biological clock or sleep-wake cycle.)

[0484] Day and night resource localization based on pre-diagnosis

[0485] This invention includes a method for electroencephalogram (EEG) monitoring and source localization. The source localization includes source reconstruction, which is based on pre-diagnostic subject / patient studies or general population data as a basis for identifying relevant signal sources or brain sources. The spectral and sensitivity characteristics of signal processing in this manner are applicable to multiple sensors (including but not limited to…). Figure 3 ; Figure 4 ; Figure 21 ; Figure 23 ; Figure 46 ; Figure 47 ; Figure 48 ; Figure 49 ; Figure 50 ; Figure 51 ; Figure 52 ; Figure 53 ; Figure 54 ; Figure 55 ; Figure 56 For example, based on modeling of EEG signal attenuation in the skin layer, skull, and brain material, combined with the monitoring interest of EEG electrode location and specific distance from the target brain region, each EEG sensor can be specified with sensitivity (amplification) and spectral (filtering) characteristics according to EEF forward source reconstruction. The neural source is known, but the signal from the head surface electrodes can be calculated (using forward equation modeling). In this way, the invention can provide optimal compensation because it involves electrode locations for subject / patient convenience (i.e., the minimum form of each wearable monitor, such as...). Figure 45 or such as Figure 16 Sensor configuration of the Somfit forehead sensor; Figure 28 [4]).

[0486] By using this forward equation source reconstruction analysis method, the present invention can determine the optimal EEG signal processing suitable for specific electrode locations (i.e., per Somfit) of the sensor monitoring system in order to simulate the recommendations of the standardized AASM sleep monitoring manual (i.e., F4-M1; C4-M1; O2-M2; alternative monitoring electrodes include F3-M2; C3-M2; O1-M2 with Somfit Fp1, Fp2, F7, F8 and / or Fz sleep monitoring electrode locations).

[0487] By using this forward equation source reconstruction analysis method, the present invention is able to determine the optimal EEG signal processing (i.e., adjusting the frequency, phase, and / or amplitude of the sensor signal) for specific electrode locations of the sensor monitoring system (i.e., each Somfit) to simulate the location of brain regions (i.e., the suprachiasmatic nucleus (circadian clock) area), for circadian rhythmic EEG periodic signals (e.g., for determining the subject's / patient's circadian clock cycle), and / or consciousness-switching regions (i.e., the thalamus) or other brain regions (i.e., but not limited to) Figure 66 (Local source region).

[0488] circadian rhythm monitoring and tracking

[0489] Sleep deprivation measurement based on circadian rhythm

[0490] This invention provides a method for monitoring and indicating, as part of a wearable or mobile wireless system, one or more measures related to the subject's circadian rhythm, including incorporating measures of the subject's brain or temperature. The invention further includes (but is not limited to) any one or a combination of the following:

[0491] a) Temperature day-night clock measures

[0492] >> By monitoring the subject's body temperature through analytical methods (e.g., but not limited to regression analysis), the 24-hour cyclical nature of the subject's body temperature can be determined, where short-term temperature variations, such as those applicable to the subject's actions or movements, are considered (e.g., such spontaneous or short-term measures do not distort slower temperature variations applicable to the diurnal cycle. Therefore, within a 24-hour cycle, these low-pass filtered temperature variations, coupled with the exclusion of temperature measures, do not conform to a typical diurnal cycle, and this temperature variation can be compensated for to obtain the subject's next diurnal temperature cycle).

[0493] b) Brain / EEG diurnal clock measures

[0494] >>A method for linking EEG with circadian rhythm synchronization, wherein the method includes determining the phase or rhythmic pulses of a signal from a circadian rhythm brain region via one or more monitored EEG signals. Thus, in a first processing step, the frequency or periodic nature of the circadian rhythm brain region (i.e., the suprachiasmatic nucleus (circadian rhythm) region) is suitable for circadian rhythmic EEG periodic signals, for example, for determining the subject's / patient's circadian rhythm, and / or the consciousness switching region (i.e., the thalamus), or other brain regions (i.e., but not limited to...) Figure 66 (Local source region).

[0495] In this invention, brain regions can be monitored and / or analyzed as a means of calculating the sleep tendency of any subject (i.e., sleep deprivation; delayed sleep syndrome; sleep recovery recommendations). Therefore, this invention further enables the analysis of the periodic nature of EEG signals from the human brain or biological clock. Thus, only a small sample needs to be monitored relative to the continuous or uninterrupted biological clock output signal, allowing for accurate calculation or estimation of the cycle or phase of the human body or brain's circadian clock (body clock) at any given time.

[0496] c) Determine and integrate with mobile or other map, calendar, messaging, and community applications.

[0497] This invention can automatically determine, predict, and indicate an individual's natural day-night cycle, sleep / wake patterns, and suggested schedules for travel, social activities, work, leisure, or other activities.

[0498] That is, annotations via calendar applications can include indications of an individual’s deviation from the natural day-night cycle, which correspond to their proposed travel schedule and scheduled activities / events. For example, if an individual must attend a business meeting at some point in the future and then travels, the invention can take into account time zone changes and travel arrangements (i.e., automatic links to travel websites or personally managed flight schedules, or travel agency flight data, etc.) and then provide a measure of sleep urges based on a series of assumptions or individual data entries or selections or default factors. For example, if an 8-hour flight is followed by an important business meeting, assuming the individual did not sleep on the flight before the business meeting, the invention can meaningfully estimate the subject’s possible sleep urges (i.e., based on no or little sleep between leaving and the scheduled meeting, you may have a sleep tendency similar to 3 hours after normal sleep time or up to 3 AM according to your normal sleep / wake cycle.) (Figure 96 Output Blocks [4] to

[10] ).

[0499] Similarly, in relation to time efficiency factors, the present invention allows for the calculation and presentation of more complex scenarios (i.e., map settings or annotations, calendar settings or annotations, clock settings, alarm clocks or annotations) in terms of the optimal arrangement of personal performance or emotional factors, based on the determination of any one or a combination of the following: a) a scheduled or assumed schedule (Fig. 96[1]), b) a travel schedule (Fig. 96[1]), c) a natural circadian rhythm (Fig. 96[1]), and d) homeostatic sleep / wake monitoring (i.e., including automatic access to the conventional sleep monitoring capabilities of the present invention as well as individual-related normal homeostatic sleep factors, and / or motion and / or ambient light conditions, as described in this document). Other sections described (Fig. 96[1]), e) individual preferences for maintaining optimal sleep quality (i.e., taking into account previous wake periods and current or predicted, such as new environmental time zone adjustments) f) or conversion factors (Fig. 96[1]) as background during time zone changes and various adjustments, etc.), g) individual preferences for minimizing time differences, relative to social clock factors, relative to work clock factors, individual circadian rhythm factors (phase delay, phase advance, delay stability and confidence level in determining the accuracy of an individual's previous and latest circadian rhythm state, and other factors affecting the determination of an individual's current circadian rhythm state) (Fig. 96[3]);

[0500] This invention enables the integration of all these functions and capabilities into one or more wearable or mobile devices (i.e., smartwatches, mobile phones, Somfit sleep monitoring headbands, and / or others within any part of this patent application, such as (but not limited to) these). Figure 1 Examples of wearable devices shown;

[0501] In another embodiment of the invention, the calculated parameters of a person's (i.e., a traveler's) biological clock are programmed as part of an automatic conversion (i.e., according to Figure 96[1],[7]) biological clock processing system (e.g., including bright light therapy for eyeglasses or sunglasses (i.e., by way of example only, semi-shielded eyeglasses with the upper part of the glass lens tinted), whereby said eyeglasses may include a reflective eye diagram (i.e., according to...). Figure 43 The invention can switch phototherapy and / or detect eyelid movement and / or opening as markers of drowsiness to achieve biofeedback switching capabilities, thereby adjusting circadian rhythm shift factors and / or sleep tendency and / or sleep-promoting factors. For example, the invention may include a series of blue LEDs or other blue lighting devices that can be automatically controlled via wireless interconnection to provide a personally selected switching therapy regime based on the invention’s calculation of the individual’s current circadian rhythm relative to social, travel, time zone and / or work or entertainment plans / clock requirements (i.e., Figure 96 [1]), the switching therapy adjusting the circadian rhythm to advance or delay it;

[0502] Similarly, the present invention can automatically link (i.e., wireless or other interconnected communication and information access devices) to messaging systems (such as mobile phone text messages, emails, calendars, applications, etc.) to track and / or comment / health guidance and / or implement sleep scheduling, because in terms of optimal performance, energy, sleep breathing, occupational health sleep risks, fatigue effects, and other factors that an individual may be responsive to (i.e., according to Figure 96[7]), it is related to the individual’s current biological clock, which corresponds to social, travel, time zone and / or work or leisure schedule / clock requirements.

[0503] One embodiment of the invention enables the integration of map applications (i.e., geographic or route maps) or related indications or annotations with additional notes or relevant information relating to various indications or symbolic travel scenarios (i.e., single sine wave cycles marked with normal sleep cycles corresponding to the new environmental clocks, such as equivalent start and end times corresponding to the new time zone environment) and indications of circadian rhythm phase lag or lead content, allowing individuals to link travel plans and related travel itineraries with circadian rhythm and flight lag factors.

[0504] Furthermore, regarding the predicted or estimated sleep tendency factors or sleep quality (i.e., the phase relationship of the pre-awakening period based on the biological clock and the difficulty of homeostatic sleep patterns. In this way, individuals can visually, automatically, instantly and integratedly or seamlessly (i.e., mobile personal planning applications, including mapping or routing related functions or applications or processes, wearable devices, etc.) link travel plans with related health management effects and preventive measures or countermeasures to optimize individual sleep quality, sleep duration, sleep time, daytime energy, sleep tendency, mood, etc., through the day and night health management system of the present invention (i.e., the health management system of Figure 96 block [3] with related inputs [1] and [2], auxiliary system options [3A] and outputs [4] to

[10] ); Figure 97 The 4-level adaptive monitoring system can obviously be managed and enhanced in terms of information access, understanding and control.

[0505] In one embodiment of the invention, an integrated calendar or scheduling / planning application (i.e., a geographic or route map) is enabled to display or annotate, optionally with additional notes or related information, relating to various travel scenarios indicated or symbolized (i.e., a single sine wave cycle with a normal sleep cycle relative to the clock of the new environment (i.e., the equivalent start and end times corresponding to the new time zone environment) and suggestions from the current personal circadian rhythm, as well as various content (i.e., different travel schedules or different timetables for travel, social activities, work activities, study, etc.) circadian rhythm phase leads, circadian rhythm phase lags or adjustments / conversions (i.e., melatonin dosage and dosage time, / or light dose and treatment time, etc.) strategies for adjusting these conflicting clock cycles (i.e., the built-in circadian rhythm for work). Instead of attempting to synchronize biological clock phase leads or phase lag factors, the social clock (i.e., clock time cycle requirements based on natural biological clock wake-up / sleep requirements and conflicts) is used. In this way, individuals can visually, automatically, instantly, and integratedly or seamlessly (i.e., integrated calendar or planning or scheduling related applications or processes, mobile personal planning applications, wearable devices, etc.) associate travel plans with relevant health management effects and preventive measures or countermeasures to optimize individual sleep quality, sleep duration, sleep time, daytime energy, sleep tendency, mood, etc. Through the day and night health management system of the present invention (i.e., the health management system with relevant inputs [1] and [2], auxiliary system options [3A], and outputs [4] to

[10] in Figure 96 [3]); Figure 97 The 4-level adaptive monitoring system can obviously be managed and enhanced in terms of information access, understanding and control.

[0506] In one embodiment, the present invention enables a watch or clock application to be programmed such that information related to the circadian clock cycle and / or the individual’s desired clock schedule (i.e., travel clock, time zone changes, social clock, work clock, leisure clock, special event clock) and strategies or scenarios can be provided to provide travel programs or sequences and are designed to minimize sleep quality or interference with personal performance in work, exercise, play, leisure, etc. This information, strategies or scenarios can be structured and stored in a library or easily recalled for each of the clock display settings, as well as various circadian clock embodiments, transitions, strategies, personalization preferences, planning capabilities, etc., so that the user can build an ideal circadian clock HMS personalized configuration library (i.e., Figure 96 block [3] with associated inputs [1] and [2], auxiliary system options [3A] and outputs [4] to

[10] of a health management system); Figure 97 (4-level conversion adaptive monitoring system).

[0507] In addition, the present invention’s biological clock HMS enables community or private selection grouping functions for tracking, diagnosing and supporting individuals in occupational safety, athletic performance, general health, mental disorders such as depression that are greatly affected by proper biological clock management (i.e., Figure 96 block [3] has relevant inputs [1] and [2], auxiliary system options [3A], and outputs [4] to

[10] in a health management system). Figure 97 (4-level adaptive monitoring system) allows healthcare professionals to teach, guide, assist, and intervene.

[0508] Furthermore, this invention can automatically link (i.e., wireless or other interconnected communication and information access devices) to a personal time reference (i.e., alarm clock, watch, mobile phone clock or other application) to automatically set or suggest alarm settings and / or implement sleep schedule tracking and / or commentary / health guidance, because it is related to an individual's current biological clock in terms of optimal performance, energy, sleep breathing, occupational health sleep risks, fatigue effects, and other factors that may be related to activation, which correspond to social, travel, time zone and / or work or leisure schedule / clock requirements.

[0509] For example, a scenario described in the plan or prediction may be based on the assumption that the subject / patient's continued sleep patterns or behaviors / quality (i.e., sleep duration, sleep fragmentation, sleep structure, sleep arousal, sleep disturbances, breathing disturbances, REM sleep volume and structure, deep sleep volume and structure) are not diminished or have various degrees of correction, such as mild correction (i.e., gradually increasing sleep quality or reducing sleep defects), moderate correction, or severe correction (i.e., any one or a combination of medication, light therapy, sleep hygiene, or environmental improvements (i.e., reducing external arousals associated with audible noise, temperature, humidity, air pollution, or other respiratory or asthma antagonists).

[0510] Furthermore, based on planned or predicted sleep-circadian cycle scenarios, and based on the assumption that the subject / patient will experience reduced or impaired sleep over a period of time (i.e., during study periods or during special events, travel, etc.), this invention provides a "method for calculating sleep-circadian cycles." The method can also provide typical measurements of sleep or tendency based on comparative scenarios with eyes closed (i.e., you would be at extreme risk of falling asleep within ten seconds (i.e., within 1 to 30 seconds in specific situations), you should not drive, make financially material decisions, undertake any tasks or professional work that pose a risk to yourself or others, etc.). Additionally, (by example only) predicted sleep deprivation scenarios may be associated with other equivalent measures of reaction time, alertness, or drowsiness, such as predicted Epworth drowsiness rates or blood alcohol readings.

[0511] To determine this, the "method for calculating the circadian cycle" includes, but is not limited to, examining information on previously monitored circadian rhythm physiological variables (i.e., temperature, EEG optic chiasm prefrontal cortex region, etc.) and studying these variables, as well as other factors influencing changes in the biological clock cycle (i.e., sleep parameters and relevant sleep measurements of the subject / patient), based on historical or previous changes and subsequent sleep and biological clock offset measurements, i.e., for each algorithmic subject / patient-specific learning (ASL) system or wearable device minimization (WM) system, the subject / patient's previous and / or current and / or predicted (with indicative scenarios) and / or training—i.e., according to the description in this embodiment. Figure 45 The ability to inspect and monitor targets ( Figure 45 [1]), and in this case, it is recommended that users make it more complicated ( Figure 45 [2]) Monitoring configuration (e.g., under clinical supervision or required or considering consumer or GP supervision guidance), followed by monitoring, analysis, determination of results, and then statistical evaluation of the accuracy of the results for diagnosis or prognosis to determine the reconfiguration requirements for the monitoring sensor configuration or wearable monitoring sensors and related devices and related wearable monitoring adaptations (Figures 4510, 11, 12, not applicable to the same principles in the context of diurnal monitoring, but with the difference that a wide range of physiological parameters and related wearable monitoring configurations are taken into account to cover relevant monitoring measures, including any (but not limited to) direct or alternative measures of body temperature monitoring, homeostatic sleep measures and / or daytime activity measures), as well as minimal or streamlined / minimized ( Figure 45 [8], [9],

[10] ) Sensors and wearable configurations based on relevant and appropriate accuracy in achieving diagnostic and / or prognostic goals and outcomes, applicable to the specific or personalized requirements of the user and the user's health community (personalized according to the user's privacy, security and preferences or the tolerance of the added features and interventions).

[0512] d) Built-in (natural) biological clock

[0513] This invention provides methods and / or application linking methods for characterizing, determining, and / or adapting a subject's / patient's natural circadian rhythm biological clock; d) an integrated (natural) biological clock. Therefore, the biological clock characterization may include monitoring a slowly changing or typical sleep-wake cycle of 24 hours, the subject's / patient's temperature associated with the biological clock, and EEG (i.e., EEG data related to sleep and wakefulness). Figure 66 (as described or directly related to the suprachiasmatic nucleus (biological clock) brain region in other parts of this document);

[0514] The natural biological clock device method or application linking method described therein includes (but is not limited to) one or more time management systems and / or sleep / wake management systems, as well as the interrelationships between these aspects;

[0515] The time management system method that combines the natural biological clock device and the application linking mentioned above includes (but is not limited to) any one or a combination of the following:

[0516] - Clock settings, mobile phone clock settings, map applications, calendar applications, any scheduling applications, any project management applications, any travel planning applications, watch settings, computing devices, online applications, social media applications, social networking applications, or other systems for personal sleep / wake management;

[0517] The natural biological clock device or application-connected sleep / wake therapy health management system method described herein includes (but is not limited to) any or any combination of the following:

[0518] - Health or personal planning applications, any occupational health management planning applications, any health insurance occupational risk and health applications, 3D or other glasses, lighting systems, curtain control systems, room temperature or environmental control systems, test glasses with phototherapy capabilities, sleep / wake aids, sleep / wake suggestions, sleep / wake alarms or subject / patient clock suggestions or prompts or phototherapy applicable to other systems to adjust sleep delay or sleep quality), sleep / wake plans or schedules or periodic interventions (including aspects of natural biological clocks);

[0519] This invention enables individuals to adjust and / or optimize their time management system and / or sleep / wake management system, as well as the interrelationships between these aspects. This is based on optimizing individual health, including (but not limited to) adjustments to delayed sleep syndrome, undesirable or unsafe sleep tendencies, or sleep promotion and / or adjustment and / or adaptation to the subject / patient / patient / natural biological clock.

[0520] The present invention may include a programmable computer system, the steps of which include a decision matrix containing adjustable characteristics, relating to a natural biological clock or application linking means associated with a time management system and / or a sleep / wake management system and related factors;

[0521] e) Other aspects of the biological clock

[0522] This invention can also achieve

[0523] i) Natural biological clock cycle parameters;

[0524] ii) The user's necessary wakefulness time parameters (i.e., work, study, travel commitments, etc.);

[0525] iii) A calendar, travel and other schedule application with details of the relevant commitments or plans;

[0526] The travel itinerary is separate.

[0527] iv) Travel itinerary, in relation to other times (i.e., a) through c), comparison and contrast, which have implications for automatic world time zone calculation;

[0528] v) A method of mapping the application to a planned travel route based on a world travel route or route to optimize the adjustment or adaptation of the subject / patient / user's natural (circadian) clock to a temporal structure that can reduce or most appropriately restore sleep deprivation within a defined (i.e., user preference or basic need) time period.

[0529] vi) SMS or other mobile phones, watches or other users (e.g., other designated or authorized locations or parties – such as enabling transport drivers / pilots or shift workers or shift worker safety caregivers to better manage occupational vigilance or safety or risk daytime sleep deprivation / tendencies and real-world solutions or counseling assistance);

[0530] vii) Clock alarm or alarm system - i.e. alarm clock settings, mobile phone clock settings, watch settings, applications that make up an existing mobile phone part, alarm clock or other device settings and functions;

[0531] viii) Personal circadian rhythm or clock health management system - that is, the ability of the subject / patient / user to adjust time indicators and / or alarm clock functions and / or calendar schedule guidance or reminders and / or messaging system guidance or reminders, based on the adaptation / adjustment of the schedule or personal circadian rhythm (e.g., to restore or avoid more detrimental sleep deprivation) according to mild, moderate, major or severe repositioning to the optimal sleep-wake cycle (i.e., the user can thus configure their optimal sleep / wake cycle for their immediate sleep / wake period or any future period, thereby being able to adjust from sleep deprivation or irregularities (i.e., standard sleep / wake cycle times due to travel, recreational activities, work requirements, exams, research, jet lag, nighttime sleep, etc.).

[0532] ix) Health or sleep coaching applications that can suggest, adjust or control a range of devices or systems (i.e., IoT or other wired, wireless means of interconnected systems), subject / patient / user different options or clock and schedule programs (i.e. wake-up via calendar appointments and alarm clocks, as well as options to adjust room temperature, room lighting or related lighting adjustments and other sleep / wake environment effects);

[0533] f) Forward Equation Source Analysis

[0534] This invention provides the capability for forward equation source analysis based on known typical circadian rhythm brain anatomical locations or other brain functional or structural locations, such as the suprachiasmatic region (biological clock) and / or related control or interconnected brain regions (and (but not limited to)). Figure 66The location shown is Talairach Atlas; current atlas tools; Harvard Whole Brain Atlas, MNI template, SPM standard template and International Brain Mapping Consortium, developing human brain map, including Brodmann region, Gyri, Sulci and all other functions) options;

[0535] - This invention can provide compensation for electrode position based on a compensated signal, according to any factors such as amplification or attenuation, filtering, phase adjustment, etc., for simulating or modeling conditions applicable to any or a combination of localization, monitoring location or other brain functional or structural location, brain region or connectivity aspects (e.g., consistency or dipole measurement); for example, in the simplest modeling scenario, this invention can:

[0536] - In the first step, it was assumed that all EEG electrodes had exactly the same signal.

[0537] - Define the relevant location or other brain functional or structural location in the second step:

[0538] - In the third step, determine the possible attenuation, spectral filtering characteristics, and most likely phase shift (i.e., based on the skin, skull, and applicable brain material attenuation factors between each electrode and the associated brain region).

[0539] - In the fourth step, for the signal processing of each corresponding EEG electrode, determined attenuation, spectral filtering characteristics, and phase shift characteristics are applied.

[0540] - In the fifth step, the identified attenuation, spectral filtering characteristics, and phase shift characteristics can be further improved by comparing and contrasting them with actual subject / patient imaging and diagnostic assessment data;

[0541] In this way, forward equation source modeling enables the monitoring or analysis of specific target regions of the brain, even using minimal wearable monitoring sensor systems (according to...). Figure 45 The example processing implementation illustrates an example of sensor minimization, enabling targeting of relevant brain regions with the smallest possible sensors or electrodes. Furthermore, by using these forward analysis modeling and minimization processes, more sophisticated monitoring sensor systems (such as...) can achieve improved source localization capabilities. Figure 55 (As shown) can still be streamlined or minimized (according to) Figures 46 to 54 Examples (but not limited to) different wearable monitoring structures are provided, ranging from the simplest consumer-level monitoring options to more complex clinical diagnostic options.

[0542] g) Circadian rhythm-based smart clocks, alarms, scheduling, tutoring, biofeedback, and control systems.

[0543] This invention provides an intelligent circadian rhythm device that is interconnected with clocks, alarms, scheduling, tutoring, biofeedback, and correlation control systems. The smart wrist or alarm clock settings may include (but are not limited to) any one or a combination of the following:

[0544] a) The ability of the actual subject / patient to set a biological clock alarm or clock indicator;

[0545] b) Regular (real-time zone adjustment) time or alarm clock indication;

[0546] c) Sleep counseling recommendations, including suggestions for modifying the subject's sleep / wake behavior, such as adjusting the sleep cycle between the subject's / patient's current natural circadian rhythm and the subject's / patient's desired sleep / wake phase requirements (i.e., adapting to jet lag, night shifts, late study or leisure nights, etc.) to compensate for or minimize time phase filtering.

[0547] d) Connecting (e.g., wireless communication) other devices that are adapted to adjust, compensate for, or indicate (i.e., display, compare, or contrast the nature of circadian rhythms and cycles relative to an individual's desired or desired sleep / wake cycles) an individual's sleep cycle and / or circadian cycle, such as, but not limited to, light therapy (i.e., activating or adjusting regular indoor lighting or special (i.e., any power, brightness, color of light, light frequency radiation spectrum, etc.) light); mobile device or wearable device interfaces (i.e., smartwatches or mobile phones or smart alarm clocks, etc.); environmental controls such as room temperature or electric blankets that can influence and facilitate the adjustment or correction of circadian rhythms;

[0548] e) This invention provides a method for administering, coaching, or testing drugs, as well as for online automated or assisted (including regulatory, security, privacy, and personal authorization and access requirements) drug ordering: based on (but not limited to) any one or a combination of the following:

[0549] i) Medication schedule

[0550] ii) Order dosage online,

[0551] iii) Dosage determination based on sleep / sleep monitoring results, subject / patient medical information, subject / patient personalized circadian rhythms, subject / patient sleep / tail monitoring results, subject / patient HMS results or related information, subject / patient health surveys and other health information records, subject / patient natural circadian rhythms and ongoing sleep / wake progress requirements, subject / patient circadian rhythm monitoring results (i.e., natural circadian rhythms based on EEG biological clock, temperature and other circadian rhythm physiological monitoring measurements and related analyses or derived results);

[0552] iv) Dosage and medication or medication dispenser or medication aid (i.e. medication guidance, such as recommended dosage and automatic programming and / or control of dosing plans associated with automatic medication dispenser systems (i.e., programmed to optimally compensate for changes between natural circadian rhythms / clocks and new environments (i.e., changes in time zones or diurnal activity) or sleep / wake / work requirements));

[0553] v) The user interface of the clock or alarm system (i.e., a smartwatch, alarm clock, or mobile app, relative to the actual world time zone clock, alarm, or scheduling method, which allows the user to choose between the best day-night rhythm synchronized time indications (i.e., for most natural alarm clock settings or calendar scheduling, etc.)).

[0554] h) Wearable mobile health tracking and indication methods

[0555] - This invention provides a method for monitoring, calculating, and tracking, indicating the circadian rhythm of a subject / patient (i.e., the method includes any measures or combinations thereof integrated into a smartwatch device, including but not limited to subject temperature sensing, subject current skin resistance, photoplethysmography, electrocardiography, blood oxygen saturation measurement or plethysmography, and further optionally, other wearable or mobile wireless monitoring systems that incorporate local / distributed analysis as outlined in this document, all of which have a very slow underlying circadian cycle component that can be derived using any such measures).

[0556] This method may also include methods for displaying any one or a combination of a regular 24-hour clock and / or date and / or calendar and / or sleep schedule (i.e., this method may include calendars, messages, clock displays, or indications of the actual subject / patient's circadian rhythm, one or more predicted or forecasted circadian rhythms, including indications of normal variance or a range that can be adapted to, without mild, moderate, or severe consequences of sleep deficits and / or remaining ranges). (Furthermore, this information may be based on comparative population databases or aggregated subject / patient-specific monitoring or other input information (i.e., based on...) Figure 77 Artificial intelligence or expert system analysis methods [A]. A knowledge base is accumulated based on input evaluation from the interface to the real world [8] and an associated rule interpreter, which in turn is based on scoring rules standardized to relevant diseases, disorders or health conditions.

[0557] The “health condition of interest” may include (for example, but not limited to) sleep disorders, which can be referred to in accordance with the guidelines of the American College of Sleep Medicine (i.e., the section entitled “Monitoring, Identification and Tracking of Sleep, Arousal and Other Mental States, Related Events or Health Conditions” in eLifeCHEST / eLifeSCOPE), which applies to staged sleep scoring and sleep-related breathing disorders, epilepsy prognosis or diagnosis, including the detection of events or event clusters such as HFO, ripples, spikes, waveforms, K complexes or principal axes, etc. Figure 75 Further details

[29] were determined by the automatic analysis model.

[0558] The “health condition of interest” may include (e.g., but not limited to) a diagnosis or prognosis of Parkinson’s disease determined therefrom. The “health condition of interest” may include (e.g., but not limited to) the monitoring and analysis of biomarkers associated with relevant events (i.e., symptoms corresponding to a diagnosis or prognosis or disease, health condition, or related disease) and related “expert system rules” (i.e., based on…). Figure 77 [D] These “expert system rules” are described in other sections, including the combination of sleep behavior disorders with movement (i.e., movement or activity characteristics), further covering the monitoring and analysis of prognostic and / or diagnostic markers of movement disorders, which are associated with markers of Parkinson’s disease or other movement, muscle or nervous system disorders (i.e., each vibration or uncontrolled vigorous movement, symmetry of movement, flow or motion, synchronization of movement between two or more body parts), or as further described in the eLifeCHEST / eLifeSCOPE section under the subheading “Background of the Invention,” including (but not limited to) “Gait or Motion Tracking and Characterization of Events of Interest” (with automated analysis options), combined (or assessed as independent factors) monitoring and analysis, or each example (but not limited to) Figure 75

[21] ,

[24] and related functions enable the identification of sleep behavior disorders (with automated analysis options) as a diagnostic or prognostic indicator of Parkinson's disease. Similarly, these artificial intelligence or expert system analysis processes can be deployed to enable automated analysis of diurnal shift factors (i.e., but not limited to, the section entitled "Background of the Invention" of Somfit, including (but not limited to) the section "Physiological temperature cycles determine local environment and / or sleep / wake / activity / work").

[0559] The “health condition of interest” may include (for example, but not limited to) the diagnosis or prognosis of other neurological diseases such as ASD as further described in the section “Patent Title: DIMENTIA / ALZHEIMER'S / ASD / ASP”, as well as the related “Summary of the Invention” section and the combined measures described in “eLifeALERT” and the related “Summary of the Invention” section.

[0560] The “health condition of interest” may include (for example, but not limited to) the diagnosis or prognosis of other neurological diseases such as ASD, which is further described in the “eLifeALERT” section and the related “Summary of the Invention” section.

[0561] Furthermore, as part of the input factors for consistency analysis of expert systems or artificial intelligence methods (i.e., methods for evaluating the accuracy of experts or the precision of artificial system analysis in terms of validation by professional medical or scientific experts, compared to the results of comparative expert analysis, to provide the subject / user with the highest quality medical and health tracking for quality control and continuous improvement of the prognostic and diagnostic analysis results of this invention), it can be automatically deployed for validation and continuously modified and improved as needed for interpretation rules. Figure 77 [D] In order to improve the accuracy of the knowledge base [A], and ultimately improve the quality of diagnosis or prognosis for the subject / patient. Figure 78 [2]; [5]

[0562] This invention can incorporate minimization rules as part of the system's artificial intelligence or expert system self-learning capabilities. This allows the invention to continuously validate and improve monitoring algorithms based on broad or narrow monitoring standards or objectives. The algorithm is personalized or subject-specific, simplifying and adjusting the most suitable and minimized wearable monitoring sensors and related prognostic and diagnostic analyses, again tailored to the patient / subject. The simulation analysis or expert system analysis self-learning capability can be part of or complementary software networks or related services or resources (i.e., SaaS, including cloud computing services, LAN, WAN, peer-to-peer, WWW, NAS, etc.) of one or more mobile and / or wearable monitoring systems.

[0563] Other examples Figure 78 As shown, expert input (including diagnostic assessment or expert supervision and observation) is based on... Figure 78 Blocks [1]), patient survey or monitoring data [2], can be used for prediction Figure 78 [2] or diagnosis Figure 78 [5] Checks are performed in modules such as, for example, in environments involving artificial intelligence or expert analysis (as described above). Figure 77 As shown in a.

[0564] In one embodiment, conventional clock-oriented timekeeping can be supplemented by a series of circadian rhythm overlaps indicating the subject / patient's actual circadian cycle status and / or one or more projected circadian sleep cycle conditions and / or interconnection with a local smartwatch and / or with a remote connection (i.e., a wireless or mobile wirelessly linked alarm clock app designed to provide recommended sleep alarm suggestions for minimum to maximum sleep quality and / or minimum to maximum work schedule and / or any compromise or balance). Furthermore, one or more room or house lights and / or wirelessly connected lights for the subject / patient can be controlled in the context of phototherapy to help adjust or optimize the subject / patient's circadian cycle.

[0565] i) Determine the optimal circadian sleep cycle

[0566] This invention enables the comparison and contrast analysis of the subject's / patient's / user's normal rhythm or typical cycle or phase nature during healthy or peak sleep performance or health status (i.e., through ESS or other sleep tendency or sleep ratio performance, sleep / wake studies, sleep study results showing an individual's normal or healthy sleep tendency or daytime performance).

[0567] >>>Indication methods, such as watch face (i.e., body clock relative to the actual clock, and / or phase lag or gain and / or recommendation or guidance, these catch-up are equivalent to sacrificing sleep without excessive adverse consequences of sleep or sleep potential (i.e., moderate or minor sleep deprivation / sleep tendency), movement, alarm clock connection, alarm clock, etc.

[0568] In this way, for typical standardized population cases of circadian rhythm cycles in a specific subject / patient or healthy individual, the periodic nature of the human biological clock can be determined, and the elapsed cycle or time of the human biological clock can be calculated and compared with typical biological clock cycles.

[0569] >>Associate with lighting / glasses / medication timing and dosage recommendations or administration to correct or adjust the body's natural clock (circadian rhythm) to correspond with expected clock and scheduling requirements;

[0570] >>This invention may include categorized health observations, or scheduling / event / calendar applications or shared social or business media information, to achieve explicit health data or guidance and / or related treatments at the individual or community / group level (i.e., light therapy circadian rhythm regulation and conversion linked to the Internet or various lights and other related controls). To assist in managing key sleep stages such as deep sleep (physical recovery) or REM sleep (brain recovery), circadian rhythm alignment (i.e., the offsetting and management of health rearrangements in subjects or other social or business or travel schedules / itineraries during calm sleep / wake phases / stages), where subjects / subjects may prefer or weight to influence and / or impact and / or modify and / or adapt to scheduling or alarm clock settings or calendar functions, and may segment availability according to the influence of various schedules, such as color coding or commitment to adjust for homeostasis or circadian sleep, sleep deprivation, sleep breathing, and other sleep health factors), the importance of their private or personalized perspectives in terms of sleep tendency or sleep breathing risk, sleep burden factors, sleep impulse factors, work time priorities, work productivity or performance factors, leisure time or relaxation enjoyment, sleep duration, quality sleep and other sleep, wakefulness, circadian rhythm, sleep health, and general health-related factors. For example, in one embodiment of the invention, a mobile wireless personalized mobile device or wearable device (i.e., a watch, mobile phone, computer, etc.) can be combined with watch functionality to have the ability for the user to switch relevant viewing or scheduling modes, which are suitable for any or a combination of local travel clocks, work schedules, leisure schedules, relaxation schedules, subject or other social or business or travel schedules / itineraries during stable sleep / wake phases / stages.

[0571] Furthermore, this invention can be tailored to individual preferences for work productivity and / or focus / attention (i.e., work patterns), personalized occupational work hazards and risk factors, teaching, guidance, and recommendations for calendar entries, activity schedules, clock alarms or alarms, shift schedules, or sleep / wake planning. (This includes methods for monitoring, analyzing, correlating, and alerting about health conditions such as excessive sleep / wake disruptions, including key aspects of quality sleep such as REM sleep volume, deep sleep volume, and circadian rhythm shift factors (for example only), demographic norms, and personalized requirements, etc., that correspond to the level of work or risk or responsibility. - For example, a truck driver with signs of snoring or OSA sleep disorder can be identified at the personal and personal safety management level. For the purpose of fitness or training coaching, sleep training or coaching, work schedule or coaching, leisure schedule or coaching, and / or relaxation schedule or coaching related to this invention, private information, but potentially critical personal health guidance and support, is permitted.) and cognitive performance (i.e., thought patterns), leisure time (without considering sleep deprivation or enjoyment, different degrees of sleep deprivation or sleep urges, or weighted factors of enjoyment).

[0572] j) Sleep surveys and artificial intelligence

[0573] Through sleep or other health surveys (e.g., but not limited to the Epworth Sleepiness Scale), the present invention enables a method for self-assessment by the subject / patient, wherein sleep breathing or sleep tendency can be tracked according to an individual's sleep patterns to determine the sleep patterns most conducive to minimizing sleep and / or the sleep start and end times that induce daytime drowsiness (e.g., but not limited to artificial intelligence or expert system devices, such as...). Figure 77 , Figure 78 , Figure 79 To determine the control of the therapeutic device (i.e., biofeedback or configuration or pressure dynamics related to the pressure range or dynamic changes associated with APAP / CPAP / PAP / NIPPV), the present invention may further correlate these measures with monitored sleep measures and associated sleep scores (assessing human sleep through sleep stage analysis) and / or respiratory scores (i.e., detection of sleep disordered breathing). This is to minimize sleep interruptions or sleep disruptions, maximize sleep structure quality, and / or minimize sleep breathing disturbances, while also taking into account improving sleep tendency or daytime sleepiness (or daytime drowsiness). This may involve minimizing or eliminating arousal events (TERA and RERA) associated with therapeutic events and / or arousal events (TERA and RERA) associated with respiratory events.

[0574] >>The calculation of an individual's circadian rhythm cycle can be based on any one or a combination of the following: the subject's / patient's temperature and / or periodic EEG signals that represent the brain's biological clock and / or the subject's / patient's activity or movement and / or homeostatic sleep monitoring characteristics and / or sleep / wake or other health survey information;

[0575] - This invention enables wearable mobile wireless devices to monitor information and infer the subject's / patient's natural circadian rhythm, wherein such measures can be based on measurement sensors connected to or incorporated into smartwatches, wristbands, forehead sensors, armbands, or as part of other wearable monitoring sensor systems, and incorporated in a slow manner into analyzable measures (typically cyclic measures that change slowly over 24 hours, which can be derived based on monitoring temperature and / or current skin resistance, and / or heat flux, as well as photoplethysmography (PPG) measurements such as pulse rate and / or heart rate variability, which are physiologically consistent with the function of the natural 24-hour biological clock).

[0576] - This invention can monitor and calculate a measure of residual excessive sleepiness (RES) as a method for determining the association or causation of RES, in addition to any one or a combination of the following calculation, comparison, and contrast measures (i.e., correlation with other factors such as TERA as a mechanism for optimizing automatic positive pressure ventilation pressure titration to minimize sleep-disordered breathing, optimize cardiac function, and optimize sleep quality) having circadian rhythm or homeostatic factors (i.e., sleep tendency is asynchronous with the circadian rhythm (CC) – i.e., delayed or progressive circadian rhythm period)): 1) Subject / patient sleep parameters (i.e., any one or any combination of EEG, EMG, EOG, but not limited to this); 2) Sleep-disordered breathing; 3) Treatment event-related arousal (TERA). 3-5 4) Respiratory event-related arousal (RERA), 5) Circadian rhythm factors, 6) Previous sleep duration, 7) Previous arousal period, 8) Previous arousal time, 9) Previous sleep period in terms of sleep structure, 10) Previous sleep period in terms of deep sleep (i.e., N3) and / or REM sleep, 11) Previous sleep period in relation to circadian rhythm, 12) Current sleep duration, 13) Current arousal period, 14) Current wake-up time, 15) Current sleep period in terms of sleep structure, 16) Current sleep period in terms of deep sleep (i.e., N3) and / or REM sleep, 17) Current sleep period in terms of sleep structure; 6

[0577] >>>Somfit or other forehead monitoring devices with sleep posture training function

[0578] The device, equipped with a built-in (self-contained) training system, is capable of detecting snoring (i.e., through a built-in breathing sound or snoring monitoring function (i.e., accelerometer vibration or microphone sensor) in such a way that the subject / patient can be alerted or awakened (including a headband-attached vibration or sound alarm device) based on any one or a combination of the following:

[0579] 1) Sleep alarm clock settings (i.e., watch, mobile phone, alarm clock, etc.)

[0580] 2) Sleep stages are identified, including arousal, N1, N2, N3, REM, non-REM, wakefulness, main axis, κ-complex, α-burst, EMG burst, and EMG tone loss state.

[0581] 3) Subject / Patient posture,

[0582] 4) Patient / subject posture preferences, with snoring being the least noticeable (i.e., side-to-back position, etc.).

[0583] 5) Biosynchronization of the subject / patient with the respiratory cycle (e.g., derived from any monitoring sensor, including infrared thermal flux or subject / patient respiratory signals, relative to actual subject / patient snoring measures, these signals are intended to mitigate the detection risk of sleep partner breathing measures (or snoring);

[0584] 6) In one exemplary embodiment, the present invention may (by way of example only):

[0585] -In the first processing step, the amount of time before the alarm clock starts is determined based on the user's selection;

[0586] - In the second processing step, sleep stages (i.e., wakefulness, N1, N2, N3, REM) and sleep events (i.e., axis, wakefulness, k-complex) are tracked while continuously assessing the time before the alarm is triggered.

[0587] - In the third processing step and under certain circumstances, when the subject / patient enters a sleep state that tends to, or is defined as, tends to, lead to interruptions or awakenings due to "groaning" or "fatigue," the present invention can activate an alarm clock in a more favorable sleep state, i.e., a sleep state that is less likely to induce "fatigue" upon awakening. For example, if the subject / patient sets an alarm clock for a 1-hour nap during the day in order to try and overcome jet lag or other forms of sleep or sleep tendencies, then the present invention determines or tracks (through online sleep analysis capabilities) whether the user / subject is in REM sleep (e.g., a recovery effect less favorable than N3 deep sleep), and the alarm clock will sound at the selected alarm setting.

[0588] - In the fourth processing step, (for example) if the present invention determines or tracks (through online sleep analysis capabilities) that the user / subject appears to be transitioning from REM to NI / deep sleep (e.g., tending to cause higher adverse effects than REM), and only 10 minutes before the alarm clock setting time is activated, and under the condition that the maximum wake-up alarm clock setting (or default) is greater than 10 minutes, the present invention will sound the alarm and wake the subject / patient in the preferred REM state, i.e., relative to the potential N3 deep sleep state.

[0589] The maximum pre-wake alarm time is a setting related to the maximum time allowed before wakefulness, so that the invention can use its processing power to optimize wakefulness events based on the subject / patient's sleep stage.

[0590] The maximum wake-up time can be set based on sleep duration (i.e., hours and minutes), or by selecting, for example, 10% of the total sleep time before the alarm clock's total time (i.e., a percentage of total sleep time, where typical start and end sleep times or typical total sleep periods are input by the system or set as a default value).

[0591] circadian rhythm drug delivery patent

[0592] The present invention includes (in one exemplary embodiment) the capability of a connectable or integrated smartwatch (embedded or onboard as part of a smartwatch and / or wireless interconnection processing system), a biofeedback drug delivery (BFDD) system and / or an “associated therapy” system, wherein the biofeedback drug delivery system may include any one or a combination of the following: a) a drug dispensing system, b) an automated analysis system and / or c) a drug delivery control system;

[0593] The “drug dispensing system” may include any connectable drug delivery system that includes a manually or automatically controlled drug dispenser capable of “optimal drug dispensing,” including any one or a combination of the following:

[0594] A) Dispense the medication at the optimal time and / or rate.

[0595] B) and / or compounds (i.e., drug types or mixtures of drug compounds, including but not limited to melatonin) and / or

[0596] C) Concentration and / or delivery concentration and / or

[0597] D) Delivery speed,

[0598] In order to minimize the impact of sleep delay syndrome (i.e., the main sleep / wake cycle and / or work cycle / schedule / clock / calendar (i.e., shift) and / or social cycle / schedule / clock / calendar and / or travel cycle / schedule / clock / calendar (i.e., itinerary), the “optimal medication allocation” described herein may be applied to any physiological and / or neurological and / or sleep disorder and / or other adverse health condition.

[0599] - The “biofeedback” system and / or “related therapy” system described herein may include any one or a combination of the following:

[0600] i) Biological rhythm switching system

[0601] ii) Biological rhythm switching systems include photoradiation control or photoradiation

[0602] iii) A network or other interconnected circadian rhythm switching system including light radiation control or light radiation; - wherein the “automatic analysis system” may include the determination of subject sleep / maintenance patterns and / or homeostatic sleep characteristics and / or the determination of individual circadian rhythm cycles, as described elsewhere in this document.

[0603] - The "drug delivery control system" may include a drug dispensing mechanism (including, but not limited to, a cartridge dispensing device capable of dispensing drug therapy / medication, which can be set to a moderate, severe, or other gradient switching mode to minimize sleep delay or sleep disorder syndrome (i.e., to compensate for individual sleep delay or circadian rhythm disorder factors)).

[0604] - The "biofeedback drug delivery system" described herein may be any one or a combination of the following: a) any wireless mobile system; b) any wearable monitoring system; c) a remote medical system;

[0605] Automatic sleep / wake / circadian rhythm drug therapy and / or treatment system

[0606] This invention provides a choice of a mobile wireless telephone or wearable device or separate mobile device and an automatic or manual drug dispensing system (e.g., sleep suppression or antagonistic drug therapy, such as melatonin, etc.) and a sleep / wake cycle analysis system (automatic or manual, via local or widespread processing and / or interconnected processing such as a network or with computing or other wireless interconnection modes) and a biorhythm analysis system (automatic or manual) plus a light therapy conversion option (e.g., Internet of Things including light and / or alarm clock or music and / or voice control, these designed to regulate an individual's circadian rhythm cycle) and drug therapy and / or associated music and / or sound options, and linkage of said one or more therapy types, which is connected to biofeedback including brain signal processing (e.g., EEG) and / or other physiological signals (e.g., temperature, oxygen saturation, heart rate, sweat and skin resistance, ECG, EMG, EOG, indoor lighting status, subject movement, subject orientation, subject position, and / or subject activity);

[0607] Automatic monitoring and model configuration capabilities; Figure 83

[0608] - This invention provides a method for determining, selecting, and configuring, wherein the method includes any one or a combination thereof (but is not limited to): an automated method for sleep monitoring study types and / or instructions for sleep study configuration and / or required sleep monitoring kits (including single-selection options for sleep study equipment monitoring devices and / or consumable sensor elements), and adjustments to computers and other related local or remote devices and computer resources. It is applicable to selected or desired research formats (and may also take into account "Highly Dependent Connectivity Monitoring (HDCM)" or "Adaptive Physiological-Body Networks (APN / APM)"), automatically sensing connectivity requirements and connectivity or quality status, automatically acquiring pre-acquisition signal processing (e.g., filtering, sensitivity, etc.) settings, automatically acquiring data (e.g., simulation of data sampling rate, sampling resolution / step for each monitored, analyzed, propagated, stored, and / or displayed channel), automatically registering monitoring or electrode location information for each monitoring channel, automatically acquiring post-acquisition signal processing (e.g., filtering, sensitivity, etc.), and automatically interconnecting and / or interoperating with data characteristics (e.g., but not limited to data sampling rate, sampling resolution / step for each monitored, analyzed, propagated, stored, locally displayed, remotely displayed report, alert, alarm, and / or other communication access or conversion).

[0609] This invention provides a method for determining and implementing configurations (with an option for automatic configuration) using any one or a combination thereof (but not limited to): an automatic wireless or wireless interface interconnection method, wherein the invention is capable of automatically detecting subject / patient / user study types, including predefined series or monitoring schemes that can be categorized based on physiological monitoring and parameters and quality or features related to each said physiological channel and specific detected signal characteristics (including any, but not limited to, automatic pre-acquisition signal processing (e.g., filtering, sensitivity, etc.) settings, automatic data acquisition settings (e.g., simulation of data sampling rate, sampling resolution / step for each monitored, analyzed, propagated, stored and / or displayed channel), automatic monitoring or electrode location information registered for each monitoring channel, automatic post-acquisition signal processing (e.g., filtering, sensitivity, etc.), automatic interconnection and / or interoperability with respect to data characteristics, taking into account "High Dependency Connectivity Monitoring (HDCM)" or "Adaptive Physiological-Body Network (APN / APM)", and automatic sensing of connectivity requirements and connectivity or quality status;

[0610] -The predefined series or monitoring program that can be classified includes the type and / or level and / or classification and / or scope (or scope of in-clinic or out-of-clinic research methods and / or recommendations and / or health security requirements or guidance and / or government health guidance, etc.) and related sleep monitoring scope, including sleep type and type, cardiovascular, blood oxygen saturation, location, effort, and / or respiratory monitoring requirements.

[0611] -This invention provides automatic determination and corresponding configuration of a sleep monitoring system;

[0612] The determination mentioned above may include probing consumer / non-regulated entities, in contrast to professional / regulated entities (e.g., China-FDA, US-FDA, etc.).

[0613] Compared to the actual details of sleep study configurations, the determination may include probing actual research standards or local regulations (i.e., health insurance reimbursement, government reimbursement, or market clearance agencies (i.e., the US, China FDA, etc.)).

[0614] Provide instructions, hints, or automatic prompts for any one or a combination of the following:

[0615] - Compliance with professional / regulatory requirements (i.e., China-FDA, US-FDA, etc.);

[0616] - Relative to the completed research status or research setup / configuration steps, for the required (incomplete) actual process or process steps, relative to the professional supervision and authorization of China-FDA, US-FDA, etc.;

[0617] - Authorization decision completed by committee-certified experts (BCSS), assessment of suspected subject / patient obstructive sleep apnea (OSA);

[0618] - Whether the subject / patient has symptoms is a BCSS determination or a sign of sexually transmitted disease.

[0619] - Whether the subject / patient has symptoms is a BCSS determination or a sign of sexually transmitted disease.

[0620] - Compliance with professional / regulatory (e.g., China FDA, US FDA, etc.) requirements for sleep or other subject / patient health questionnaires.

[0621] (Sleep range)

[0622] -The predefined series or monitoring protocols that can be classified include any one or a combination thereof of cardiac sleep, vascular, blood oxygen saturation, location, respiratory effort, and / or respiratory measures;

[0623] -The sleep type 1 (for example only) mentioned therein may include the monitoring of sleep parameters, such as (but not limited to) sleep by using 3 active EEG channels, at least one EOG channel and chin EMG channel;

[0624] -The sleep type 2 (for example only) may include monitoring of sleep parameters, such as (but not limited to) sleep using at least 2 active EEG channels (and a separate reference EEG channel), with or without EOG channels or chin EMG channels;

[0625] -The sleep type 3 (for example only) mentioned therein may include (but is not limited to) monitoring of sleep proxy channels, such as a monitor;

[0626] -The sleep type 4 (for example only) is based on other sleep measures rather than those described in sleep types 1, 2 and 3.

[0627] Cardiovascular range

[0628] -The cardiovascular category 1 (for example only) mentioned therein may include monitoring of cardiovascular parameters, such as (but not limited to) more than 1 ECG, with the selection of derivative events;

[0629] - The cardiovascular type 2 mentioned therein (for example only) may include monitoring of cardiovascular parameters, such as (but not limited to) peripheral arterial tension (e.g. Figure 37 , Figure 38 (as described);

[0630] -The cardiovascular category 3 (for example only) mentioned therein may include cardiovascular parameter monitoring, such as (but not limited to) a standard (1 important) ECG measure;

[0631] -The cardiovascular category 4 (for example only) mentioned therein may include cardiovascular parameter monitoring, such as (but not limited to) derived pulse, such as blood oxygen saturation;

[0632] - The cardiovascular category 4 (for example only) may include cardiovascular parameter monitoring, (but not limited to) based on other circadian rhythm measures rather than those described in sleep categories 1, 2, 3, and 4;

[0633] blood oxygen saturation range

[0634] - The blood oxygen saturation type 1 (for example only) may include blood oxygen saturation monitoring, (but is not limited to) finger or ear detection with an average sampling time of 3 seconds and a sampling rate of at least 10 Hz, preferably 25 Hz.

[0635] - The blood oxygen saturation type 1a (for example only) mentioned therein may include blood oxygen saturation monitoring, (but is not limited to) finger or ear detection with a sampling rate of less than 3 seconds and 10 Hz as the sampling feature;

[0636] -The blood oxygen saturation type 2 (for example only) mentioned therein may include blood oxygen saturation monitoring, (but not limited to) located in alternative locations, such as the forehead;

[0637] -The blood oxygen saturation type 3 (for example only) mentioned therein may include other forms of blood oxygen saturation monitoring;

[0638] Location range

[0639] - Location type 1 (for example only) can include video or visual location measurement monitoring;

[0640] - Location type 2 (for example only) may include non-visual location measurement monitoring;

[0641] Breathing effort range

[0642] -The respiratory effort type 1 (for example only) mentioned therein may include monitoring of two respiratory plethysmography measures (abdominal and thoracic measures);

[0643] -The breathing effort type 2 (for example only) mentioned therein may include monitoring of a respiratory plethysmography measure (abdominal or chest measure);

[0644] -The breathing effort type 3 (for example only) mentioned therein may include monitoring of a respiratory plethysmography measure, a derivative breathing effort measure, such as frontal venous pressure (FVP);

[0645] -The breathing effort type 4 mentioned therein (for example only) may include other breathing effort measures monitoring, such as pressure breathing belt measures;

[0646] Breathing range

[0647] - Breathing effort type 1 (for example only) may include nasal pressure and heat sensing device monitoring;

[0648] - Breathing effort type 2 (for example only) may include nasal pressure sensing device monitoring;

[0649] - Breathing effort type 3 (for example only) may include heat sensing monitoring;

[0650] - Breathing effort type 4 (for example only) may include end-stage respiration CO2 (ETC02) sensing and monitoring;

[0651] - Breathing effort type 5 (for example only) can include other respiratory device monitoring.

[0652] - Any of the aforementioned sleep types or combinations thereof (including any one of types 1-5 or levels) and / or related monitoring signal channels (including any one or combination of the above sleep, cardiovascular, blood oxygen saturation, location, respiratory effort, and respiratory range) may include automatically matched one or more time-synchronized distributed wireless interconnected monitoring sensors (e.g., not limited to those described in the title: Multi-Point Time Synchronization Monitoring (MTM) System and the related "Summary of the Invention").

[0653] This invention provides for the automatic connection and configuration of consumer or professional wearable mobile HMS (including devices, corresponding online services, sensors, therapeutic interventions, and biofeedback capabilities) activated based on any one or a combination of the following (but not limited to): a) monitoring study or HMS target requirements, b) monitoring or HMS type / form, c) monitoring study or HMS “type or level” requirements, d) sensor accessories, monitoring accessories, e) professional authorization and healthcare safety orientation, f) consumer service providers, g) professional service providers, h) personal care management platforms, i) applications, j) selection of professionals (regulated – e.g., China FDA; US FDA; CE, etc.), k) HMS eHealth online store selection, l) HMS eLife online store selection, k) HMS eHealth application selection or functionality, l) HMS eLife application selection or functionality, l) HMO, m) health insurance organizations, n) government health connection systems, m) AMD, n) AICC, o) SQE, p) SQI&C)

[0654] -The sleep monitoring study type (level) 1 (most comprehensive level) (for example only) includes the following monitored channels: EEG, EOG, ECG / heart rate, Chin EMG, limb electromyography, chest and abdominal respiratory function, airflow and / or respiratory effort of nasal cannula thermistor (respiratory plethysmography), pulse oxygen saturation, additional channels for CPAP / BiPAPA levels, pressure, carbon dioxide, and pH.

[0655] -The sleep monitoring study type (level) 2 (for example only) mentioned above includes the following monitored channels: EEG, EOG, ECG / heart rate, airflow, respiratory function, oxygen saturation;

[0656] -The sleep monitoring study type (level) 2AU (for example only) mentioned above includes the following monitored channels: electroencephalogram (EEG), electrocardiogram (ECG), airflow, chest and abdominal movement, oxygen saturation, body position, and EOG or chin electromyography.

[0657] -The sleep monitoring study type (level) 3 (for example only) mentioned above includes the following monitored channels: 2 respiratory movements / airflow, 1 electrocardiogram / heart rate, and 1 oxygen saturation;

[0658] -The sleep monitoring study type (level) 4 (for example only) mentioned above includes the following monitored channels:

[0659] At least three channels, including arterial oxygen saturation, airflow, optional chest and abdominal movement, and direct calculation of AHI or RDI measurements;

[0660] -This invention also provides a method for automatic pattern determination (AMD).

[0661] The AMD function works in conjunction with AICC, SQE, and SQI&C functions to configure the system based on the specific electrode configuration and quality status during system operation. The AICC, SQE, and SQI&C functions are described in detail in the patient interface section. Specifically, the SQE system tracks electrode connection status and quality. Corresponding control functions are relayed to the AMD system by the SQI&C function. The A&CD monitoring mode then adjusts based on the effectiveness and connection status of the sensors and electrodes at any given time.

[0662] like Figure 83 (Below) As shown, activate automatic mode to determine ( Figure 83 ;[3:Y]), if activated ( Figure 83 [5] If so, follow the ISA format and signal quality prompts in the A&CD system configuration monitoring operation mode. However, if the AMD function is not activated ( Figure 83 [3:N]) Select according to operator manual mode ( Figure 83 [4]) Configure the operation interface. Integrated accessory sensors ( Figure 83 [6]) Connects to the patient interface module [7], which detects and determines the ISA format, as well as sensor accessories and quality status. Figure 83 [8] This information is input as part of the decision matrix related to automatic identification and channel characterization. Figure 83 [9] AICC system. Mode determination ( Figure 83 5) Then implement various auxiliary systems, including dynamically linked signal conditioning ( Figure 83 ;

[11] ) and the analysis conditions of dynamic linking ( Figure 83

[12] ) The system is configured or adjusted to correspond to the operating, environmental and signal quality conditions of the A&CD system. The combination of online signal quality tracking and AMD enables special online adaptation, such as when the AEP click stimulus is disconnected, so the system can recover from the hybrid (AEP-based and EEG-based) monitoring mode to the EEG-based monitoring mode.

[0663] - This invention also provides a method for automatic identification and channel characterization (AICC).

[0664] -The AICC system is designed for automatic detection of integrated sensor accessory (ISA) system configurations (such as...) Figure 82 ), and is also (but not limited to) Figure 1 ; Figure 28 ; Figure 31 ; Figure 38 ; Figure 46 ; Figure 55 Other examples of monitoring systems (i.e., but not limited to) wearable mobile or other monitoring systems include monitoring modes (hybrid, EEG-based) and formats (standard or advanced). Furthermore, the specific signal filtering and processing characteristics required for each corresponding channel can be automatically configured. In this way, a single Fast ISA connection (e.g.) can automatically prepare the system for monitoring.

[0665] The present invention also provides a signal quality estimation (SQE) method, wherein the SQE system is capable of continuously tracking the integrity and overall quality of the input signal. Furthermore, this method can continuously compare the signal with predetermined and acceptable signal ranges, limitations, and other important characteristics.

[0666] The SQE function works in conjunction with the Online Impedance Measurement (OIM) function.

[0667] This invention also provides a method for sensor / electrode quality index and control (SQI&C).

[0668] The SQI&C system can be integrated into the patient interface (such as Somfit or other wearable monitoring devices, including but not limited to...). Figure 1 Wearable devices (or monitoring headboxes, i.e., for clinical or laboratory monitoring) offer several key features, including visual user prompts and constant indication of connectivity and sensor quality status.

[0669] Low-interference continuous online impedance measurement (LCOIM) system

[0670] LCOIM systems typically refer to systems using active online impedance measurement, where the measurement period is marked and excluded from downstream analysis results. Furthermore, the impedance measurement period can be minimized by measuring the transient response signal compared to conventional steady-state waveform measurement methods. This invention enables the integration of passive signal quality tracking (i.e., monitoring of typical and expected signal characteristics in contrast to typical interference and other man-made sources, such as physical exertion, sweat, artifacts, electrode bursting noise, etc.).

[0671] This invention further enables active impedance measurement interleaved with monitoring signals, in such a way that the measurement period (which may cause interference with the monitoring signal) can be limited to a "non-critical" or "less critical" monitoring period (i.e., not during critical periods for determining sleep stages, such as during transitional sleep stages). Non-critical periods can also be predefined as periods when important measures such as the axis or K complex do not indicate significant changes in sleep stages.

[0672] Compensation and Rejection (AC&R) System

[0673] The AC&R system of this invention incorporates a series of algorithms capable of eliminating or minimizing noise or artifacts. An automated online artifact journey can identify specific severity levels, intervals, and artifact classifications. Reducing or eliminating the effects of unwanted background physiological artifacts, including EMG signal intrusion, blinking, EOG intrusion, arousal (including various neural and autonomic categories), body movement, movement time, and unwanted PAMR signal intrusion, can be achieved automatically and continuously online. This invention achieves high-tolerance and high-quality continuous signal monitoring under severe interference from body movement artifacts such as electrical and EMF signals and other signal interference sources. This invention can incorporate a high-impedance ambient noise sampling input channel configured to operate like an antenna to sample noise and interference, monitoring and / or storing signal characteristics or environmental interference patterns. In this way, ambient noise can be characterized in relation to determining the type and characteristics of filtering required to minimize or eliminate noise from the monitored signal channel. For example, the ambient noise sampling input channel can be used to help eliminate noise in the input channel of interest through phase shifting, amplitude adjustment, and ultimately, the elimination of unwanted ambient noise. This can generate a noise cancellation channel, and then phase-shift it to be exactly equal to but opposite in phase (180-degree phase shift) the noise present in other signal channels, so as to invalidate or eliminate unwanted noise.

[0674] The AC&R of this invention incorporates an open "noise sampling channel" as a method for eliminating unwanted signals, such as... Figure 29 As shown.

[0675] Health Partner

[0676] This invention enables a health payment system that "appropriately" (i.e., in compliance with relevant privacy, security, governmental, medical, patient care, and safety aspects, can be linked or programmed based on location or specific patient details and health information as a function of this invention) separates patient or consumer information from healthcare service or product providers, including methods for separating such information. However, in addition to conventional methods enabling online payment transactions, it also allows access to personalized medical database services, enabling access to important information such as health insurance compliance or approval data, including medical prescription data verified by treatment type and / or adjustment (i.e., PAP, NIPPV devices);

[0677] Other aspects of the invention include “appropriately” assessing the conflict between the patient’s medical history (i.e., allergies, reactions to certain drugs, etc.) and the prescribed medication, side effects, the ability to examine, and alerting or notifying the subject / patient and relevant healthcare personnel as needed;

[0678] Other aspects of the invention include the ability to automate government / insurance reimbursements through consultation, guidance, simple steps, GPs, practitioners, consultation / steps, HMOs, etc.

[0679] Other aspects of the invention include the ability to utilize bidirectional separation or buffered data access to ensure disconnection between the subject / patient and the supplier and the privacy and security of information in order to conceal private illnesses and medical histories or privacy (i.e., private medication with health sensitivity and health expert safety, etc.).

[0680] Patent---Invention of methods or devices for Elife gait or motor neurons (including Parkinson's disease)

[0681] This invention provides a method for characterizing an individual's gait or movement characteristics, including any measure of the interrelationships of movement among any plurality of limbs or between limbs. This invention also includes (but is not limited to) any one or a combination of the following:

[0682] (Characteristics of walking, running, and lunging)

[0683] This invention provides a method for analyzing the motion characteristics of a subject / patient through analytical methods (i.e., spectral analysis, such as FFT and segmentation of specified frequency bands, applicable to different components of subject motion, including analyzing frequency band characteristics in terms of phase properties and synchronization between signals, which are associated with arm swings and these arm swings with leg steps. The motion characterization may include any one or a combination of distinguishable motion characteristics, such as linear length (i.e., millimeters), cycle period (i.e., seconds), regularity (i.e., determinism or regularity of arm swing or leg step motion characteristics);

[0684] (Interrelationships of limb movements)

[0685] The synchronization and phase relationship between the arm swing and the corresponding leg movement characteristics changes over time, with the development of motor and neurological disorders, especially when navigation is affected by more challenging motor control environments involving cornering, changes of direction, etc.

[0686] (NLDB Motion Analysis)

[0687] Similarly, analysis of motion sensor outputs (i.e., accelerometers) can include deploying nonlinear dynamics (NLDB) analysis transformations. Therefore, for example only, regularity (i.e., the determinism or regularity of the characteristics of arm swing or foot step motion) can be measured by nonlinear dynamics characteristics indices such as (but not limited to) complexity or entropy.

[0688] (Motion pattern or signal morphology analysis)

[0689] Similarly, analysis of motion sensor outputs (i.e., accelerometers) can include deployment pattern recognition analysis transformations, where foot and arm swing motions can be mapped and recorded as signals to characterize gradual changes in swing motion, fluency, movement flow, and synchronization of any other limbs or extremities as measures of subtle or more serious deterioration or improvement, applicable to the reversal / recovery or deterioration of motor, neurological, or neurological disorders, including any “relevant event / letter of intent” (as defined in the abbreviation table later in this document);

[0690] (Motion correlation with location / GPS analysis)

[0691] The present invention also includes methods for combining location tracking, such as mapping an individual's motion characteristics in a progressively worsening manner based on GPS information, because it involves different categories of movement (i.e., walking, jogging, stair climbing, exercise or fitness systems such as treadmill running), which can be analyzed in the context of navigation or gait difficulty (i.e., mild, moderate or severe mobility difficulties, straight path, etc.) and corresponding gait or balance output measures (e.g., but not limited to any one or a combination thereof:

[0692] >>Measurement of interrelationships (phase synchronization between any two or more limb or quadrant motion sensing locations);

[0693] >>The cyclic and / or phase relationship between any two or more signal or data outputs of two or more motion sensing systems d (i.e., it can be a wearable device or a subject mobile phone or a mobile phone housing containing sensing devices (i.e., single-axis or multi-axis accelerometer measurement sensors) or attached thereto,

[0694] - Motion analysis or characterization of any or all four limbs and / or body parts includes (but is not limited to) any or a combination thereof of arm swing (linear or radian millimeters) of any length; walking smoothness; walking arm movement; arm swing pattern; arm swing motion (i.e., via a watch or bracelet, e.g., but not limited to a single multi-axis accelerometer); the degree of synchronization between walking legs and arms; phase properties and synchronicity between signals. The motion characteristics may include any or a combination thereof of distinguishable motion properties, such as linear length (i.e., millimeters), cycle time (i.e., seconds), regularity (i.e., determinism or regularity of arm swing or foot movement characteristics; and swing motion of each arm swing or step; symmetry factor is the correlation between arm and leg movements during walking, between multiple subjects / individuals of said limbs, limbs or body parts moving; the invention also includes analysis of correlation, comparison or other phases, or cyclic or other methods for determining interrelationships;

[0695] This invention provides a measurement assessment and characterization that combines SBD REM tonic deficiency and motor analysis, applicable to the prognosis or diagnosis of motor or neurological disorders, including “health conditions of interest” or “events of interest / letters of intent” (as defined in the abbreviation table at the end of this document);

[0696] This invention includes making SBD ( Figure 75 Methods associated with motion analysis devices, as described in other parts of this document; Attached Figure Description

[0697] Explanation of the HMS diagram of circadian rhythm

[0698] Figure 96

[0699] The present invention provides a method, as part of a microprocessor, to be programmed in any one or more combinations of the following: software applications, mobile devices, wearable technologies, or interconnected communication systems (i.e., SaaS, including cloud computing services, LANs, WANs, NAS, etc.) are able to provide circadian rhythm health management through inputs, such as, but not limited to, the input functions shown in Figure 96, any one or a combination of the applications or systems.

[0700] Processing / determining of blocks 1 and 2, or each block 3, or the corresponding outputs in blocks 4 through 10, or other inputs, determinations, or outputs covered in other parts of this document.

[0701] [Block 1] Biological Clock (CC) Health Management System (HMS) Input

[0702] >>Environmental information and biological clock conversion input;

[0703] Block 1 contains new and current environmental time zone and / or solar daylight conditions, temperature changes, population study information, or health information, such as typical sleep deprivation or sleep urges / proneness associated with varying degrees of circadian rhythm asynchrony (including those incorporated as part of the self-learning algorithm process (i.e., but not limited to the self-learning process for each instance)).

[0704] >> Input / Information

[0705] - Activate questionnaires through interaction with the subject / patient / user and information or related derived information or related results because they are related to the representation of an individual's sleep / wake cycle and / or circadian rhythm cycle; for example (but not limited to) questionnaire surveys including the Horn-Osterberg Morning Light Questionnaire (MEQ); the Epworth Sleep Scale (ESS); the Munich Timepiece Questionnaire (MCTQ) etc. (see also CC HMS processing / determination).

[0706] -Endogenous day-night cycle;

[0707] - The day-night cycle transition results of the subject / patient / user goals or expectations;

[0708] - The subject / patient / user's desired (expected) day-night cycle;

[0709] - The actual and target cycles day and night;

[0710] >>Environmental monitoring and tracking of circadian rhythm transition inputs;

[0711] That is, but not limited to, any one or a combination of the following:

[0712] - Inhibit stimulation or changes in environmental conditions (i.e., phototherapy control input; magnetic stimulation control target, dose and property adjustment; temperature control input, etc.);

[0713] - Timing factor;

[0714] >>Environmental monitoring and tracking of circadian rhythm transition inputs;

[0715] That is, but not limited to, any one or a combination of the following:

[0716] >>Changes in stimulation or environmental conditions (i.e., phototherapy controlled input; magnetic stimulation controlled target, dosage and properties adjusted; temperature controlled input, etc.);

[0717] >>Monitoring sleep through circadian rhythms and homeostatic sleep / wake factors

[0718] That is, but not limited to, any one or a combination of the following:

[0719] The actual sleep-wake cycle (i.e., the time and structure of sleep and wakefulness, such as the time and structure obtained from monitored sleep parameters and / or associated measurements, including (but not limited to) Figure 77 ; Figure 78 The rest of this document covers Figure 79 );

[0720] -Subject / Patient / User Target (Expected) Sleep-Wake Cycle;

[0721] - Actual vs. Target Sleep - Wake-up Cycle - Temperature Measurement;

[0722] >>Physiological and / or psychological monitoring and tracking of biological clock inputs;

[0723] That is, but not limited to, any one or a combination of the following:

[0724] -EEG device;

[0725] -Light illumination device;

[0726] -GSR device;

[0727] -Active device;

[0728] - Positioning device;

[0729] - Pulse device;

[0730] - Blood pressure measurement

[0731] -Brain activation device;

[0732] -Sleep / wake device

[0733] -Optical device

[0734] - The target measurement of activity cycle time can be performed using actions;

[0735] - Nursing fluid devices, such as melatonin (i.e., the rhythm of melatonin concentration provides an optimal marker of circadian rhythm) or cortisol (i.e., a measurement performed by periodic testing of samples taken from saliva, blood / plasma or urine or related blood / plasma, saliva or urine samples, with automated integration options or interfaces to mobile health monitoring or tracking systems);

[0736] [Block 2] Biological Clock (CC) Health Management System (HMS) Brain Sleep / Wake Regulation Input

[0737] This invention enables the minimization / monitoring of forward and / or reserve equation EEG electrodes (i.e., see [link]). Figure 45Minimize the process) and / or source localization, which is applicable to an individual's health management and related awareness markers, sleep / wake homeostasis or circadian rhythm measurement / monitoring, and brain centers regulating wakefulness and sleep (including neuromodulators and neurotransmitters that produce brain electrical activation, such as histamine, acetylcholine, norepinephrine, hypothalamic-pituitary-gonadal (HPG) and glutamate esters).

[0738] Further including any one or a combination thereof of brain regions (but not limited to):

[0739] -Thalamus or related areas;

[0740] - Posterior cingulate cortex or related area; medial parietal cortex or related area;

[0741] -The medial forebrain base or related area;

[0742] - The occipital region of the cerebral cortex or related areas;

[0743] -Incentive feedback or related regions;

[0744] -The prefrontal cortex or related areas;

[0745] -The pons or related areas;

[0746] - Visual cortex (the visual cortex of the cerebral cortex; located in the occipital lobe) or related areas;

[0747] - Hypothalamus or related areas: anterior pathway (ventrolateral preoptic nucleus, responsible for promoting sleep) or related areas;

[0748] -(The tuberculous sclerotium, responsible for producing histamine; the medulla oblongata; orexin [A / B], involved in arousing neural activity);

[0749] - Midbrain and pons (central points of the central plexus (norepinephrine; NE), raphe nuclei (5-hydroxytryptamine; 5-HT), and

[0750] -Pontic peduncle) or related areas;

[0751] -The olfactory bulb or related area;

[0752] - Cerebellum or related areas; and / or

[0753] - The suprachiasmatic nucleus (biological clock) region or related regions;

[0754] - Possessing relevant coherence or dipole-modeled connectivity relationships (including thalamic-cortical relationships);

[0755] [Block 3] Biological Clock (CC) Health Management System (HMS) Processing / Determination

[0756] >>- Synchronize with the environmental clock or cycle (i. social, travel, time zone, solar, working hours, required schedule, required time, etc.)

[0757] - Determine the optimal synchronization with the environment or transition, which can be mediated by controlling homeostasis or periodic stimulation (also known as epochs) to stimulate or act the subject / patient / user's biological clock (see also CC HMS input); the interaction and interrelationship between the biological clock (or biological clock (pacemaker)) and the subject / patient / user's sleep homeostasis processes (i.e., dependent on previous sleep / wake and related characteristics).

[0758] - Modeling / computation of the interaction and interrelationship between the biological clock (or circadian pacemaker) and the subject / patient / user's sleep homeostasis processes.

[0759] As a method for identifying sleep disorders or the extent of sleep disorders, such as (but not limited to) through treatment or related circadian rhythm adjustment, interpretation of possible rhythmic circadian rhythm abnormalities associated with depression, and the identification of relevant frameworks and recommendations and / or biofeedback and / or control for related treatments;

[0760] - Determine the temporal changes between stages of the subject / patient / user / circadian rhythm, such as the stages of sleep onset and epochal cycles, such as the solar clock cycle (i.e., dusk or dawn);

[0761] - Sleep timing information, such as the sleep midpoint (i.e., between the start of sleep and the wake-up time);

[0762] - Target analysis of rest-activity cycle movements, i.e., FFT and frequency analysis of accelerometer output, followed by possible sources or causal relationships of activities, and then the correlation of the movement classification with sleep, wake-up and other activities as a method to derive the subject / patient / user's final sleep / wake / activity cycle;

[0763] - Activated by sleep / behavioral questionnaires via subject / patient / user information or related derived information or related results because they are related to an individual's sleep / wake cycle and / or circadian rhythm characteristics; for example (but not limited to) sample questionnaires containing the Horn-Ostberg Morning Light Questionnaire (MEQ); Epworth Sleep Scale (ESS); Munich Timepiece Questionnaire (MCTQ), etc. (see also Circadian Rhythm HMS results)

[0764] - Measurement of “dark melatonin episodes” (DLMO) from melatonin samples, a marker of the body’s clock time, which can be measured in saliva, urine, or blood / plasma before a person falls asleep. Additionally, in 24-hour rhythm measurements, including peaks, midline crossing points, secretion shifts, and other points, can be used to determine the subject / patient / user’s biological clock.

[0765] - This invention can provide a point-of-care detection system that automatically connects to a mobile or wearable device, or via interconnection with a communication network or system, to enable saliva, blood / plasma, urine sampling (i.e., melatonin assays, including (but not limited to) chemically impregnated test strips designed to react to the presence or concentration of melatonin, and then optionally to automatically scan and analyze said test strips as an indication or means of communicating the results).

[0766] - The ability to provide clinical utilities or personalized subject / patient / user health monitoring or tracking capabilities incorporating algorithms, including the use of (but not limited to) sleep midpoints (via sleep / wake monitoring functions, as long as sleep is undisturbed, as described in any part of this document), which are deployed as alternative, but reasonably measure approximate diurnal cycle determinations;

[0767] - The ability to calculate treatment usage time (i.e., bright light therapy) and incorporate it into the algorithm should be applied based on the subject / patient / user's internal circadian rhythm corresponding to external environmental clock time conditions. In this automated manner, patient wearable technology and / or mobile device integration systems can help incorporate circadian rhythm principles to determine important treatment methods (i.e., alignment or adjustment between circadian rhythm (internal) and environmental (external) clock cycles for optimal health, safety, and occupational hazard minimization). The treatment can be extended to optimize the subject / patient / user room, alarm clock settings, or other environmental or temperature conditions to personalize them relative to general conditions;

[0768] - The sleep midpoint is determined on a single or conventional basis by analyzing the sleep midpoint calculation, which is based on the sleep / wake monitoring and / or MEQ, MCTQ questionnaire and / or subject / patient / user sleep journal (i.e. sleep start time, sleep time extinguishing, sleep wake time) of the present invention to determine an approximate value of the internal circadian cycle clock time;

[0769] - Phototherapy phase shifting treatment strategies involve identifying or adjusting / adapting phase relationships and correction requirements to alter the biological clock to synchronize with the internal environment (time zone and / or solar clock factors and / or required sleep / wake cycles). This can be achieved by shifting the timing of the biological clock forward (e.g., activation by indoor light) in an automated manner (e.g., wirelessly connected light activation or light-controlled deployment) to align with the wake-up time of an alarm clock. This process can be deployed to combat conditions such as the incidence of "repression" or winter "depression" in winter or snowy regions, or non-seasonal depression.

[0770] In this way, the present invention includes the ability to determine alarm clocks and / or sleep guidance, as well as algorithms designed to help or guide and notify people of optimal rest stages (e.g., resting or restoring sleep). Users can set preferences (e.g., for drivers or pilots, to isolate or mitigate occupational sleep risks) to enhance alertness or performance. The present invention enables the subject / user to enter an ideal sleep stage and select an "optimal sleep recovery strategy" method (which can associate any biological clock and / or wakefulness, sleep, REM, or wakefulness state with the determination of wake-up functions (e.g., sound, vibration alarm clocks, including vibration functions with monitoring wearable devices (e.g., forehead Somfit / forehead band, etc.))).

[0771] - Determination of long-term activity (i.e., motion recorder), sleep / wake (e.g., monitoring ability and / or sleep diary entries) which are applicable to the causal relationship of repression and / or treatment and / or guidance;

[0772] - The identification of unstable rest activity cycles serves as a marker of potential adverse circadian rhythm transitions and potential factors leading to adverse physical or mental health conditions;

[0773] - Determination of sleep / wake parameters, such as (but not limited to) sleep onset, wake-up time, wake-up episodes, sleep efficiency, moderate sleep duration, etc., based on sleep / wake monitoring data or related results, and / or any one or a combination of these measures (e.g., accelerometer results measures);

[0774] - Determination of circadian rhythm variables such as the circadian rhythm amplitude relative to the periodic time and / or the maximum and / or minimum circadian rhythm amplitude, daily circadian rhythm stability (daytime stability or related splitting factors) and / or daily circadian rhythm stability (daytime stability or related splitting factors).

[0775] - Determining circadian rhythm variables, such as the strength of coupling or correlation, within external circadian rhythm environmental stimuli (timing factors) relative to the circadian rhythm cycle.

[0776] - Determination of the event type (the time when the subject / patient / user goes to bed and wakes up and / or preferably needs to do something similar) based on objective evidence and / or characteristics.

[0777] - The determination of the event type (the time when the subject / patient / user goes to bed and wakes up and / or the time when they should / want to go to bed and wake up) based on objective evidence and / or characteristics, because it is associated with a specific time, such as exams, holidays, illnesses, related or subsequent treatments; related or subsequent drug treatments; depression, etc.

[0778] - The determination of any one or a combination of aspects of the biological clock process / determination, based on longer-term measures or trends (e.g., but not limited to weekly, monthly, yearly summaries or overviews) and / or shorter-term measures or trends (e.g., hourly, etc.) and / or related to work phases, leisure phases, associated phases, etc., as well as the selection of indicators, guidance, transition determinations, etc., in order to stabilize the biological clock cycle and / or to harmonize the internal biological clock cycle with external environmental clock factors (time zone; solar clock; timing factor factors);

[0779] - The stabilization of conversion (e.g., dark light melatonin; DLMO (based on measurement of biological clock markers in the subject / patient / user's saliva before sleep)) is achieved through any one or a combination of ambient / room light, sunlight, temperature and / or physiological subject / patient / user light, temperature, respiration, EEG, etc.

[0780] -Ambient / Indoor Light and / or Sunlight Log

[0781] -Social timing factors through the social measurement rhythm questionnaire

[0782] -Through relevant questionnaires and / or sleep / wake monitoring and / or any one or a combination thereof of breathing;

[0783] - Determination of the circadian rhythm amplitude by any one or a combination of core body temperature, melatonin sampling test, EEG measures, alternative or derived or estimated body temperature measures;

[0784] - Determining the light input frequency / color combination and / or intensity;

[0785] - Determination of sleep homeostasis characteristics, including short-term or long-term increases or decreases in intelligence because it is associated with slow-wave sleep (e.g., NREM from 0.75 Hz to 4.5 Hz);

[0786] - Determining sleep homeostasis characteristics, including short-term or long-term increases or decreases in intelligence, as it is associated with REM sleep;

[0787] - Determining sleep homeostasis characteristics, including short-term or long-term increases or decreases in cognitive function, as it is associated with awakening EEG;

[0788] - The determination of sleep homeostasis characteristics, including short-term or long-term increases or decreases in intelligence, is related to faster beta waves during active arousal and / or slower alpha waves during quiet arousal;

[0789] - Determination of external timing factors, and their relationship with and / or changes in sleep and wakefulness structures;

[0790] - The intensity of the timing factor is determined based on the degree of light received by the subject / patient / user and the relevant time of day, as it involves the conversion requirements and / or the current conversion decision;

[0791] - This invention can automatically integrate all circadian rhythm conversion factors, indication aspects, alarm clock functions, light detection functions, guidance and / or information and / or warning functions into a single application as part of a wearable mobile device;

[0792] - This invention can identify the minimum factors of the biological clock (e.g., the interval between body temperature and / or the minimum body temperature that triggers sleep) including the subject / patient / user's delayed sleep phase syndrome (DSPS) in order to optimize the biological clock transition (e.g., phototherapy including blue light glasses that are mapped onto the subject / patient / user's retina as a stimulus - which can be blocked by the front mapping, based on the light-blocking or blocking portion of the glasses in order to minimize the glare or obvious nature of this treatment).

[0793] This invention can track sleep-wake rhythms and presents as a diurnal rhythm pattern lacking clearly discernible sleep-wake times, serving as a marker or potential prognosis of irregular sleep-wake rhythms.

[0794] The present invention may include sleep-wake rhythms and circadian rhythm patterns characterized by a lack of wakefulness-identifiable sleep-wake times, and / or questionnaire results associated with excessive sleepiness, indistinct sleep and / or insomnia, which, according to the work schedule, serve as a marker or potential prognosis of shift work disorder (SWD).

[0795] [Block 3A] - Select integrated or adjust special technologies, mobile or other systems.

[0796] - Multi-point Time Synchronous Monitoring (MTM) System: Figure 30

[0797] -IR reflective electrooculography and / or video imaging (with IR functionality) and / or phototherapy integrated and / or mobile circadian rhythm HMS application interface system (i.e., glasses): Figure 43

[0798] - An automated diagnostic and prognostic EEG monitoring and analysis system that combines a minimized process to achieve professional and consumer-grade monitoring and automated analysis for determination (minimal system), as illustrated in the example. Figure 45 ;

[0799] -HMS and EOI automatic tracking, such as Figure 75 As shown;

[0800] -HMS sensor or monitoring device / system (SOMDI) interface according to example Figure 76 ;

[0801] - Driver / subject wearable glasses, which combine binocular or monocular vision or a combination thereof.

[0802] - Self-learning and personalized adaptive systems AI; ES, such as Figure 77 ; Figure 78 ; Figure 79 ; and / or

[0803] -Personalized subject / patient-health management system (HMS)[1] contains any one or a combination of monitoring objectives for each example, based on Figure 80 .

[0804] [Block 4] Biological Clock (CC) Health Management System (HMS) Input / Output

[0805] - Control of environmental and / or other stimuli that enable or redirect to optimal synchronization or transformation with the environment. This can be achieved by controlling homeostatic or periodic stimuli (also known as timing factors) to stimulate or act on the subject's / patient's / user's biological clock (see also CC HMS input);

[0806] -Sleep-wake cycle,

[0807] - Neurobehavioral manifestations

[0808] -Feeling,

[0809] - Cortisol

[0810] Melatonin

[0811] -temperature,

[0812] -Heart rate, etc.

[0813] -Calculate the biological clock to generate a cycle adapted to the solar day.

[0814] - Control or measure control to maintain or correct (i.e., move the circadian sleep and sleep-wake clocks to a closer synchronization) phase relationship within the subject / patient / user's circadian clock cycle (i.e., the previous sleep / wake cycle) and the current environmental clock cycle (i.e., the subject / patient / individual's solar clock, time zone, or schedule requirements) and / or the target clock (i.e., the desired subject / patient / user and / or the subject / patient / user's desired or preferred clock or arrangement (i.e., considering any or any combination of wake cycles, sleep cycles, work cycles, recreation cycles, fitness cycles, relaxation cycles, travel cycles, class cycles, study cycles, exam peak performance cycles, time lag cycles, current time zone cycles, one or more new time zone cycles, etc.));

[0815] That is, but not limited to, any one or a combination of the following:

[0816] >>Circadian clock conversion outputs or results, such as, but not limited to, circadian clock interaction (or one-way information access) options (CCIO); wherein the CCIO includes any combination (but not limited to) - map display or application with map functionality or indication or related explanation or information, with automatic and / or dynamic data exchange or update options;

[0817] - A clock or watch indicator with options for automatic and / or dynamic data exchange or update;

[0818] - Clock or watch alarm indication or setting with automatic and / or dynamic data exchange or update options;

[0819] -As part of a biological clock switching stimulus or environmental adjustment decision matrix or environmental control or treatment deployment (i.e., but not limited to any type of phototherapy with automatic and / or dynamic data exchange or update options).

[0820] - Temperature or environmental changes with automatic and / or dynamic data exchange or update options;

[0821] - Vibration or other stimulation, magnetic stimulation, steady state or flashing "light stimulation" with automatic and / or dynamic data exchange or update options;

[0822] - The “light stimulation” mentioned therein may include (but is not limited to) indoor or glasses or other head-mounted / applied systems including concealed steady-state light therapy methods that use anterior light blocking methods and / or less obvious subject / patient steady-state light and light color selection or light color control features;

[0823] >>This invention includes tracking any one or a combination of motion (e.g., breathing or accelerometer measures), body temperature, GSR measures, pulse measures, light measures, as proximity to or determination and / or indication of the subject / patient / user's circadian rhythm.

[0824] [Block 5] - Biological Clock (CC) Health Management System (HMS) Output - Map - Link Function

[0825] The ability to automatically access travel schedules

[0826] It integrates a map application (i.e., a geographic map or route map) with an indication or interpretation, with additional records or related information, descriptions or representations of various travel scenarios;

[0827] [Block 6] Applications or functions of the Biological Clock (CC) Health Management System (HMS) Output - Social / Professional / Social - Links

[0828] This invention implements a series of clock or watch interface applications, including a series of watch displays that can be switched and selected as needed. For example, any solar cycle, sleep-wake cycle, time zone, social clock, and related phase shifts with biological clocks can be programmed by the user, manifested as a default library of displays and / or programmed display formats shared among different users.

[0829] The present invention, Biological Clock HMS, enables social or private selection of group functions, in which health care professionals can train, guide, help and intervene in tracking, diagnosing and supporting individual occupational safety, exercise performance, general health, depression and other physiological diseases that are seriously affected by proper biological clock management (Figure 96). Figure 97 ).

[0830] [Block 7] - Biological Clock (CC) Health Management System (HMS) Treatment / Control / Feedback / Biofeedback

[0831] - For the establishment and / or control of relevant treatment frameworks and recommendations and / or biofeedback, through treatment or related circadian rhythm modulation, including neuromagnetic stimulation targeting and dosing and / or phototherapy stimulation targeting and dosing and / or room temperature targeting and dosing.

[0832] - Identify and / or implement certain transformation scenarios, such as intervention subjects - wearable devices or ambient light as methods to advance or delay the subject's phase response curve to different degrees (e.g., the phase relationship of the subject's internal circadian rhythm curve with external clock factors, including social, time zone, work, shift, study requirements, etc.), applicable to minimizing delayed sleep phase disorder (DSPD) or advanced sleep phase disorder (ASPD), based on the supervision and intervention of the subject's health care and / or individual preferences or requirements and / or occupational hazards and safety considerations;

[0833] - Automatic or manual assistance in activating light intensity and type (e.g., visible bright light with short wavelengths, which has a stronger melatonin-suppressing effect relative to longer short-wavelength light, can be deployed as part of an automatically calculated biological clock switching treatment regime) and the time function of this phototherapy (e.g., nighttime phototherapy can achieve biological clock phase delay, while daytime phototherapy can produce biological clock phase advance).

[0834] - Automatic (or manual intervention option) control of switching factors (e.g., light exposure time and / or Lux intensity and / or melatonin dosage and administration time or recommendations), and options to recommend or set bedtime or alarm time settings based on the subject / patient (or healthcare advisor) social, work, travel requirements or environmental factors;

[0835] - This invention can suggest / guide and / or automatically adjust the circadian rhythm transition based on the subject / patient / user's preferences, selecting or personalizing scenario options (e.g., more active adjustments during shorter periods of daytime or more moderate adjustments during longer periods of daytime).

[0836] [Block 8] Biological Clock (CC) Health Management System (HMS) Output - Personalized Health Management and Guidance - Connectivity Functionality

[0837] -Measure the ability of a subject / patient / user to take into account ambient light conditions (e.g., via a watch, mobile device, or other wearable device) to provide guidance or instruction for the treatment of winter depression or other forms of depression or delayed sleep phase disorder (DSPD), or to compensate for circadian rhythm and environmental factors (e.g., time zone or solar clock factors or behavioral clock characteristics (e.g., social clock, work clock, shift work, travel / inspection response clock, clock and related requirements or planning / trip preferences)). The guidance may include circadian rhythm offset therapy (e.g., light therapy, melatonin therapy, application of homeostatic sleep factors (e.g., optimal growth of the subject / patient / user's wake phase for achieving high-quality sleep and sleep pattern circadian rhythm arrangement, and vice versa)).

[0838] [Block 9] Integrated (Interconnected) Applications and Instructions for the Biological Clock (CC) Health Management System (HMS)

[0839] - Determine, predict, and indicate (i.e., select calendar application annotations;)

[0840] -Planned or hypothetical itineraries, travel routes, natural circadian rhythms, and homeostatic sleep / wake monitoring;

[0841] - The accuracy or confidence level is determined in terms of the accuracy of calculating an individual's prior and updated circadian rhythm state, as well as other factors affecting an individual's current circadian rhythm state (e.g., based on the quality and availability of prior sleep / wake study data, and the availability of breathing and other circadian rhythm-related measures).

[0842] - The biological clock calculation parameters are incorporated as part of the automatic switching procedure of the biological clock therapy system (i.e., bright light therapy includes glasses or sunglasses (e.g., semi-isolated glasses, for example only, tinted only on the upper half of the lens), wherein said glasses contain reflective nystagmus, capable of switching light therapy and / or detecting eyelid movement and / or opening as a sign of sleepiness, in order to achieve biofeedback switching capabilities, in order to adjust biological clock cycle offset factors and / or sleep habits and / or sleep-promoting factors.

[0843] - The determination of confidence level factors for the biological clock (e.g., accuracy – such as error factors) in determining the accuracy of an individual's prior and latest biological clock state, as well as other factors affecting the determination of an individual's current biological clock state; the present invention achieves all these functions and capabilities in order to be incorporated into one or more wearable or mobile devices (such as smartwatches, mobile phones, Somit sleep monitoring headbands and / or other devices described in other parts of this patent application document) Figure 1 )

[0844] - Automatic linking (i.e., wireless or other interconnected communication and information access devices) to messaging systems (such as mobile phone text messages, emails, calendars, applications, etc.) to enable tracking and / or commenting / health education guidance and / or sleep scheduling;

[0845] - Integrated calendar or planning / scheduling application (i.e., geographic or route map) instructions or annotations, with optional additional notes or related information covering a variety of representations or symbols of travel scenarios;

[0846] [Block 1010] Biological Clock (CC) Health Management System (HMS) Display Indicator

[0847] -A component of the personal health management system of this invention is the automatic identification and indication, guidance, alarm, message, and circadian rhythm shift stimuli applicable to subjects / patients / users based on circadian rhythm input factors, across a range of scenarios covering sleep quality and length, relating to the subject's interaction or mode of interaction with or against their natural circadian rhythm.

[0848] Figure 97

[0849] This invention provides a Transition Adaptive Monitoring (EAM) system comprising four phases: Phase 1 provides initial monitoring and analysis of objectives (i.e., objective determination of sleep / wake processes (SWP) versus circadian rhythm processes (CP) adapted to subject / patient / user work and lifestyle personalized preferences (W&LP; see also)). Figure 45 Phase 2 includes wearable technology customization / minimization, and Phase 3 includes wearable technology customization / adaptation (see also: Minimize process monitoring goals) and any applicable treatment / biofeedback personalization preferences (TP). Figure 52 Phase 4 includes analysis and review to determine (see EEG monitoring sensor adaptation in the context of the test). Figure 77 Self-learning algorithms in the analysis process of artificial intelligence or expert systems; Figure 78 ; Figure 79 The conversion or treatment is determined.

[0850] The Sleep / Wake / Circadian Transition Adaptive Monitoring (SEAM) system comprises four phases: Phase 1 provides initial monitoring and analysis of the target sleep / wake process (SWP) and circadian rhythm process (CP) for the subject / patient / user's work and lifestyle personalized preferences (W&LP) and any applicable treatment / biofeedback personalized preferences (TP); Phase 2 includes wearable technology customization / minimization; Phase 3: wearable technology customization / adaptation; Phase 4 includes analysis and assessment determination; and Phase 5) determination of transition or treatment.

[0851] The first part describes the sleep / wake / work / leisure / relaxation management (CHASM) system that integrates circadian rhythms and homeostasis; the middle part describes the fitness and health management system; and the last part describes the nervous system health management system.

[0852] A basic Transformation Adaptive Monitoring (BEAM) system includes:

[0853] 1) Preliminary monitoring and analysis target determination (i.e., according to...) Figure 45 and the initial stage), then

[0854] 2) Wearable technology customization / minimization (i.e.) Figure 45 ), used to establish monitoring and analysis parameter configurations (i.e., the self-learning of each expert system and each Figure 77 AI; Figure 78 ; Figure 79 ), and then;

[0855] 3) Adaptability testing (i.e., according to...) Figure 45 The example shown is a modulated wearable technology EEG electrode system, followed by...

[0856] 4) Analysis and review to determine (i.e., the self-learning and...) of each expert system Figure 77 AI in the middle; Figure 78 ; Figure 79 ), and then;

[0857] 5) Determination of conversion or treatment (Figure 96); Figure 97 (Therapeutic / Biofeedback Example);

[0858] 6) Return to either step 1) or step 2), depending on the validity of the process result (i.e., Figure 45 (Statistical assessment, etc.)

[0859] Figure 1Top left: This figure shows an example of a wearable neuro-sleep / fitness / health management system for the subject / patient, including the application of a forehead sensor (Somfit) which uses a headband attachment [2], eLifeBAND (phone / entertainment / device holder) [9], eLifeWATCH

[13] , RIGHT-TOP: with eLifeCHEST [3], eLifeWATCH [5], eLifeWRIST [8] and Somfit [1] devices; Bottom right: eLifeWATCH with sensor monitoring platform. Bottom left: The forehead-applied sensor combines with a self-adhesive attachment, eliminating the need for a headband attachment.

[0860] Figure 2 The wrist (eLifeWRIST) features monitoring and health / fitness / sleep functions or performance indicators.

[0861] In this embodiment, the display indicator can be programmed to indicate, for example, sleep / wake factors on the left side of the dial (i.e., between a typical 6 o'clock and 12 o'clock dial range, while the right side of the 6 to 12 o'clock range can be programmed to indicate health parameters such as daytime fitness). In one embodiment, the system can be programmed to indicate overall sleep quality based, for example, on subjects / users within at least 20% of their REM sleep time and non-REM deep sleep time (e.g., the sum of N2 and N3), compared to normal quality sleep requirements (i.e., based on any one or a combination of the following: a) normalized population mean and relevant comparisons, 2) subject-specific results using sleep quality tracking surveys / questionnaires, 3) monitoring sleep / wake parameters, 4) monitoring circadian rhythms, and 5) local environmental factors such as time zones or related shift work, circadian shift factors. Additionally, users can switch between indicator modes such as sleep / wake goals (i.e., sleep / wake goals for quality sleep tracking) or actual results corresponding to the goals (i.e., actual sleep / wake results, including sleep deprivation, circadian rhythm delay factors, etc.). Similarly, users / subjects can switch between relevant goals via indicator modes such as fitness goals (i.e., steps, movements, activities, etc.). Switching or changing display modes can be activated via gestures or tapping / shaking (detected by the accelerometer on the Somfit module board). Likewise, all these functions can be integrated as part of a smart or computer-based watch system. Advanced user interface graphical drag-and-drop and click-based applications allow users to program their Somfit module indicator system and / or compatible computer watch indicator functions or override these and other measures.

[0862] Figure 3 Somfit / eLifeNEURO headband with EEG / EOG / EMG, LDR, and / or fitness tracking capabilities.

[0863] Figure 4 Example of headband (eLifeNEURO) monitoring electrode configuration

[0864] Figure 5 Sleep phase sequence diagrams show the range of health tracking devices for the subject and wearable companion.

[0865] A wearable smart health watch device for patients, comprising any combination of the following:

[0866] Standard eLifeWATCH Model Specifications

[0867] • Integrated ambient light detection sensor

[0868] • Integrated microphone sensor (RHS:

[0869] · Figure 7 An option for an enhanced watch lens with audio coupling capabilities;

[0870] • Integrated pulse pressure sensor;

[0871] • Integrated photoplethysmography system with oxygen saturation plethysmography option

[0872] • Integrated temperature sensor; Figure 1 ;

[0873] · Figure 7 );

[0874] • Motion / tremor detection system with fall detection and patient posture detection capabilities;

[0875] The GSR sensor comes with a second wristband option (for wrist-to-wrist GSR functionality).

[0876] • A unique configurable monitoring sensor platform with a modular rear panel that supports a variety of embedded monitoring smartwatch sensors and systems.

[0877] Other eLifeWATCH models and specifications

[0878] Configurable display parameters

[0879] Waterproof rating

[0880] • One week of charging capability with standard smartwatch mode

[0881] • 3-day / 24-7-day sleep eLifeWATCH full-channel capture mode

[0882] eLifeWATCH Platform Specifications

[0883] • The community shares the eHealthMEDICS app, which can be purchased for free or through the app store, displaying options and reporting procedures.

[0884] • A scientifically developed eHealthMEDICS application that can be shared by the developer SDK and technical community, available for free or purchased from app stores, displaying and reporting programs.

[0885] • Personalized "Choose to Join" health community applications for Android, Apple, PC, or mobile wireless devices

[0886] Sleep360 SaaS, including SaaS, including cloud computing services or NAS.

[0887] Neuro 360 SaaS, including SaaS, including cloud computing services or NAS.

[0888] • Doppler ultrasound blood flow ( Figure 9 )

[0889] ·360 SAAS, including cloud computing services or NAS

[0890] • Aerobic Exercise 360 ​​SaaS, including cloud computing services or NAS

[0891] A wearable smart health watch device for patients, comprising any combination of the following:

[0892] Other specifications

[0893] • Connect to a wireless network, such as (but not limited to) Network Application Services (NAS), SaaS, including cloud computing services or other networks or peer-to-peer interconnects;

[0894] • Temporary and / or removable storage functionality;

[0895] • Wireless gateway / connectivity function, wearable chest or abdominal strap

[0896] • Features wireless gateway / connectivity for wearable devices (e.g., but not limited to straps or watches);

[0897] • One or more motion or motion detection sensors or systems, including the ability to perform linear (i.e., spectral analysis) and nonlinear (i.e., spectral entropy or correlation complexity analysis) analysis, to enhance the differentiation and classification of diseases of the nervous, neurological and / or muscular systems, as well as the associated symptomatic vibration or motion “footprints”;

[0898] • Psychological state-linked tremor and / or vibration and / or motion analysis to enhance the diagnostic classification of sleep, arousal, cardiac, respiratory, nervous system, neurological and / or muscular system disorders and related symptomatic tremor or motion “footprints”;

[0899] • Integrated functionality (per-motion detection) or independent posture detection and / or fall detection and / or walking or running status and / or other gate parameters;

[0900] • Unique options for enhancing posture / position / descent detection with gyroscope testing; / Gate tracking capability;

[0901] • A GPS (Geographic Positioning System) option that can help determine geographic location;

[0902] • Option to use one or more integrating electrocardiogram (ECG) sensors (such as carbonized rubber sensors);

[0903] • One or more light sensors with smartwatch light selection, which, combined with light analysis capabilities, enhance ambient light measurement (i.e., sleep statistical analysis results);

[0904] • One or more respiratory plethysmography and / or piezoelectric and / or PVD respiratory sensors or sensor strips;

[0905] • Options for body EMG sensors and monitoring via electrocardiogram or individual sensors, with the option to provide force measures related to respiratory effort and descriptive centers relative to obstructive monitoring and event determination;

[0906] • Options and related analyses for the plethysmography module, which includes cardiac function measurements such as PTT, pulse amplitude, pulse artery, pulse transient oscillation amplitude, and oxygen saturation. Figure 6 ; Figure 7 ; Figure 9 ; Figure 13 );

[0907] Increased complexity in acquiring and analyzing data without the drawbacks of traditional data and analysis:

[0908] This invention includes processing capabilities that enable a wide range of or additional processing requirements to be met through distributed or parallel processing systems, including (but not limited to) accompanying processing systems, interfaces with wireless networks, such as (but not limited to) Network Application Services (NAS), cloud computing services, or other network or peer-to-peer interconnects. Figure 13 ).

[0909] • A unique process has been developed to ensure that data remains synchronized with other relevant simultaneously monitored information (i.e., the subject's physiological parameters, the subject's audio and video). It can automatically construct time-synchronized or time-critical monitoring data that is interrupted or misaligned, and the data is overlaid with time in a way that reconstructs the state of data integrity issues. This is always clear to the user, thus avoiding the risk of incomplete records or misaligned data, as well as related diagnostic ambiguity and misunderstanding.

[0910] Necessary oversight and involvement of the health community are essential to ensure the accuracy of these processes and mitigate the risk of potential misdiagnosis.

[0911] This invention includes a healthcare worker "selection" function.

[0912] - "Selection" means that the present invention allows other parties access to the ability, but requires special medical authorization, such as, for example, "special medical authorization" may involve online verification or clearing and confirmation of a doctor's legal registration, in order to confirm the legality and eligibility of a doctor with an official and acceptable registration status, registration, etc.

[0913] In this way, the present invention enables system users to select (allowing accredited healthcare workers to be designated and authorized by the system user) who can access which data, thereby ensuring privacy and data security. That is, users can request medical "action" or "link" status for their personalized "health network" (i.e., general practitioners, dentists, chiropractors, orthopedic surgeons, podiatrists, etc.).

[0914] Once the subject / patient / user makes a "selection" in their personalized health network group, they "select" where and which health alerts and messages should be transmitted, select which calendar appointments should be automatically configured in the personalized calendar, select what arrangements should be automatically configured in the personalized schedule, select which medical record systems are authorized to interfaces or data access (i.e., personally controlled electronic health records (PCEHRs)), and select other management systems (mobile phones, smartwatches, etc.) that can be accessed or configured as part of the interconnection options of this invention.

[0915] • A wearable strap (head, body, any body limb, etc.) with integrated fitness and true sleep diagnostic monitoring functions. One embodiment of the screen display of this invention includes a watch-mode display screen activated by a single eLifeWATCH menu button, including four application display screens and a Home Sleep Test (HST) setup display screen. Figure 6 ; Figure 10 ).

[0916] • Exemplary embodiments of a watch-mounted modular sensor platform system including photoelectric magnification and / or oxygen flat panel microscope and / or temperature and / or spring pressure loading or fixing electrochemical (i.e., conductive rubber) or skin current sensor (GSR) monitoring electrodes, / or Doppler ultrasound monitoring and / or tone-sensor monitoring (vascular monitoring) sensor system and / or light sensor and / or microphone sensor ( Figure 7 )

[0917] • 3-Step eLifeWATCH HST Research Process Example ( Figure 8 ):

[0918] • Step 1: Go to Amazon or eHealthSHOPCART and click to buy your eLifeWATCH for personalized healthcare. It features built-in temperature; pulse; activity / location; skin / GSR; plethysmography; oximetry; sound; and light. The modular back cover offers dedicated eLifeWATCH options, including Doppler ultrasound vascular function (patent pending), plethysmography (patent pending), vascular pressure pulse sensing system (patent pending), interstitial glucose (patent pending), blood pressure analyzer, and more. eLifeWATCH covers current and future generations of applications and services from eHealthMEDICS.

[0919] Step 2: Go to Amazon or eHealthSHOPCART, eHealthSensor or eHealth DATAPLAN, and then click to purchase the eLifeWATCH sensor kit or your specific eHealthMEDICS service request.

[0920] • That is, the American Home Sleep Test Types i), ll), iii), and / or iv) or AU Level 2

[0921] • Optional: When you are there or going to the eHealth Data Plan

[0922] Step 3: Go to eHealthYOU or eHealthMEDICS and choose to join your personalized health community.

[0923] Step 4: Charge the eLifeWATCH and sensor kit via the eLifeWATCH POD (for up to one week of normal or standby use). Figure 8 ):

[0924] Embodiment of the present invention: A watch-based sleep monitoring system:

[0925] • Automatically detects the learning type and configures the eLifeWATCH system for you.

[0926] • Can be used for different sleep, cardiac and neurological studies ( Figure 8 A simple, semi-transparent sensor kit with disposable self-adhesive electrodes (like the "Magic Band" hearing aid kit) is available (click to buy on AMAZON).

[0927] • 2CM, 4CM and 8CM spaced electrode pairs are available in wide (6mm), medium (4mm) and narrow (3mm) options, allowing the magnetic alignment sensor electronics module to be easily aligned and snapped together without obstruction, almost invisible and with minimal resistance.

[0928] • Peel off the paper to turn off the sensor, connect the fully charged magnetic alignment (patent pending) sensor module, and observe that the eLifeWATCH indicator light stops flashing.

[0929] The green circle around the eLifeWATCH sensor is displayed when charging has been in progress for more than 24 hours; otherwise, it is displayed in red.

[0930] • The unique positioning guidance system uses numbers and color codes and is displayed using eLifeWATCH (or you can choose an animated video guide).

[0931] • The unique eLifeWATCH automatically detects sensor types and configures the system (patent pending) to automatically present the desired learning type and system screen.

[0932] • Displays a unique eLifeWATCH SETUP mode ( Figure 11 (Left side), the sensor will flash until all sensors and signal quality are acceptable, then OK mode will be displayed (see left side). Figure 8 ).

[0933] • Scroll screen ( Figure 12 Get animated video guides, helpful tips, troubleshooting, diagnostics, more detailed status updates, and more.

[0934] The rear watch module sensor platform of the present invention

[0935] This invention relates to wearable devices for connection or application to the body, head, limbs, or body parts, including but not limited to wristbands, watches, or motion monitoring, sensing or communication devices with interface capabilities, having monitoring interface capabilities, and / or wearable devices and "watch modular sensor platforms" and / or "surface modular sensor platforms" and / or "watch modular sensor platforms" (…). Figure 13 Interface capabilities between ( ).

[0936] In one embodiment of the invention, a watch / wristband body and / or "watch / wristband face" and / or "watch / wristband back" and / or "watch / wristband strap" and / or "watch / wristband buckle" or a movable modular sensor platform system includes a watch device with processing capabilities, wherein the interface between the "watch modular sensor platform" implements any one or a combination of analog, power, digital or wireless interfaces, in order to realize a series of configurable smartwatch devices with a range of environmental or health monitoring features, including (but not limited to) embedded, additional and / or integrated sensors (by monitoring) and options for automatic processing functions, further described under the subheadings set forth in this document. Detailed description, including any aspect of health monitoring such as (but not limited to) soundness monitoring; stethoscope auscultation sensors, monitoring and automated analysis, classification, tracking and detection capabilities; acoustic noise cancellation systems; motion detection; REM sleep behavior disorder (RBD); pulse wave analysis (PWA) and pulse wave velocity (PWV) monitoring and analysis capabilities; PWA and PWV sensors; pulse wave analysis (PWA) sensor measurements; impact mapping; position, location and motion detection and monitoring; motion and location information; ECG sensors and monitoring; light sensors and monitoring; breathing belt sensors and monitoring; EMG sensors and monitoring; GSR; cardiac function; sleep guidance systems; plethysmography (PPG) Figure 7 ); Pulse plethysmography (PPG) for blood oxygen saturation; transient pulse amplitude measurement; temperature ( Figure 7 Energy expenditure / metabolic monitoring (EM) as an alternative calorie burning measure; physiological and / or sleep and / or wakefulness measures or markers; and other psychological states (i.e., sleep, wakefulness).

[0937] Environmental sensing (with interfaces to alarms, alerts, indicators, or mobile devices associated with messages, emails, automated voice messages on telephones, and other information or communication systems); ionization monitoring; ionization smoke alarms; methane monitoring; toxic gas monitoring; toxic chemical monitoring and / or carbon dioxide gas monitoring; methane gas monitoring and / or thermometers. Multivariate analysis capabilities can analyze any combination of environmental or health variables and generate indicators based on benchmarks exceeding normal or safe operating ranges or any predetermined combination, alarm and information functions, or collective or event-related or health conditions, or environmental conditions of interest or concern. Attached Figure Description

[0939] Figure 6 eHealthWATCH combines a health monitoring application, a monitoring settings and selection application, and a programmable surface for a sensor monitoring platform.

[0940] Figure 7 An example of an eLifeWATCH with health monitoring sensors.

[0941] Figure 8 An example of a health wearable monitoring and companionship network "shop" application.

[0942] Figure 9 eLifeWATCH Doppler ultrasound example.

[0943] Figure 10 eLifeWATCH gestures or buttons display and menu toggles selection.

[0944] Figure 11 eLifeWATCH Setup and Signal Verification Example Application Screen.

[0945] Figure 12 Gesture control interface for smart health watches.

[0946] Figure 13 eLifewatch utilizes smartphones, sensor interfaces, and wireless information access systems (i.e., NAS, SaaS, or cloud computing services). Figure 13 e: Use smartphones, sensor interfaces, and wireless information access systems (i.e., NAS, SaaS, or cloud computing services).

[0947] Title: eLifeBUDS Summary of the Invention

[0949] This invention provides a wearable device for patients, such as headphones, with one or more integrated (embedded or connected) sensors. Figure 14 It can monitor one or more physiological parameters, which enable the invention to be used as a physiological monitor and a mobile wireless device holder.

[0950] This invention provides a sensor capable of detecting minute tremor motions, ranging from heart-shaped patterns or tremors to coarser vibrations or movements. Such a sensor may include a membrane or sensor (e.g., an accelerometer) capable of detecting movement or motion and generating a signal or measurement associated with said "movement or motion".

[0951] The present invention provides an integration of information relating to “signals or measurements associated with said movement or motion” or RBD during a decision-making or control process, which is applicable to optimizing appropriate pharmacological treatment to minimize any one or a combination thereof of RBD and / or tremor conditions during a pre-specified sleep or wake state to achieve the desired effect.

[0952] • EMG is possible through the carbonized rubber part of the earplug, in which small electrical signals are made and conducted between two or more of these carbon conductive areas through skin contact, wherein the conductive carbon part of the earplug is positioned in such a way that the current skin resistance can be determined by measuring a constant current that is transmitted between two conductive sensors as a method of determining the impedance / resistance between the two sensors, which varies with different sleep states, body sweating, and other physiological changes.

[0953] • EEG includes a vestibular signal earphone plug via a carbonized rubber section, wherein conductive electrodes, such as carbonized rubber or other conductive materials, can detect signals around the cochlear region of the brain (i.e., PAMR as a measure of auditory muscle at the level of sound, which can be deployed as a measure of the body’s volume overload and potential hearing impairment).

[0954] • PAMR headphone inserts with carbonized rubber parts (as described above);

[0955] • Electrophoretic skin resistance through carbonized rubber portion of the headphone insert (as described above);

[0956] • ECG is performed via a carbonized rubber portion of the earphone insert (i.e., a conductive sensor is used as a method to determine small, detectable signals displayed across the entire skin surface as markers of cardiac function and heart rate variability).

[0957] The ability to perform acoustic hearing tests includes any one or a combination of hearing assessments (i.e., with the use of earplugs, continued heavy use of earplugs, especially in younger children or adults, if not examined or determined, sensitive auditory physiology leads to permanent hearing loss) (i.e., the present invention provides a method for automatically performing hearing screen tests and audiological tracking within a mobile device so that parents or individuals can be referred for additional medical assistance, and marked portions may indicate hearing deterioration or potential risks).

[0958] This invention can include hearing tests, in any combination of mobile phones, music players, hearing aids, or similar systems, to provide automated and hearing screening tests, guidance, and awareness as a means of mitigating the risk of more severe, uncontrolled hearing impairment between children and adults. The invention also includes a method that uses hearing test results as measures of auditory volume sensitivity, spectral auditory sensitivity, auditory conduction characteristics, and auditory directional hearing features (i.e., the ability of multiple spatially distributed speakers within the earpiece to alter and compensate for spatial directional obstacles) to automatically compensate for each subject / patient's specific optimal auditory processing requirements according to the user's preferred mode (i.e., speech intelligibility, music audibility, conversation focus in a noisy room, classroom audibility, etc.).

[0959] This invention can provide audiometer functionality as part of a mobile device and earbuds or headphones that can generate a range of sounds, including frequency bursts, frequency spikes, MMN, odd ball responses, and auditory steady-state responses (ASSR) of other AEP test paradigms. This can help assess an individual’s hearing or attention / awareness (i.e., calmness, alertness, concentration, such as for diagnosing autism spectrum disorder, ADHD, etc.).

[0960] Companion-type prefrontal cortex or other EEG monitoring systems (i.e., monitoring embodiments based on, but not limited to, including, such as) Figure 2 ; Figure 3 ; Figure 4 ; Figure 16 ; Figure 21 Figure 23 Figure 24 Figure 25 ; Figure 27 Figure 28 Figure 45 ; Figure 46 ; Figure 47 ; Figure 48 ; Figure 49 ; Figure 50 ; Figure 51 ; Figure 52 ; Figure 53 ; Figure 54 ; Figure 55 Any one or combination thereof shown may be used to monitor myogenic (i.e., PAMR) or neurogenic responses to auditory or stimuli (i.e., for example, but not limited to the presence of pitch points or other frequency spikes, pitch bursts or frequency-generating test sequences, etc.) as a means of assessing subjective auditory evoked potential (AEP) hearing performance (i.e., auditory conductivity, directional determination, sensitivity, spectral response, etc.).

[0961] The present invention can provide audiometer functionality as part of a mobile device and earbuds or headphones, which can generate a series of test sequence sounds, including frequency bursts or frequency spikes.

[0962] The present invention may include electrophysiological sensors connected to or embedded (i.e., conductive material) into or as part of an earplug, in a manner that allows for the monitoring of neural and myogenic signals near the main earplug or cortical area as part of an AEP testing paradigm.

[0963] The present invention may include one or more vibration (i.e., loudspeaker) vibration sensors capable of vibrating within a certain frequency range, in order to mimic the characteristics of a tuning fork, wherein the individual conductivity of the sensor function relative to the subject's auditory physiology (i.e., measurement or screening assessment of conductive hearing loss) can be tested.

[0964] The present invention may include one or more vibrating probes (i.e., speakers or other vibrating elements embedded in or connected to earplugs, the probes may vibrate similarly to a tuning fork for assessing a sensor (hearing loss), the element being able to vibrate within a certain frequency range, in order to mimic the characteristics of a tuning fork, wherein the individual conductivity of the sensor function relative to the subject's auditory physiology can be tested (i.e., measurement or screening assessment of conductive hearing loss).

[0965] The present invention may include one or more separate and / or standard loudspeaker transducers (i.e. embedded or connected to earbuds or headphones) for generating sound, wherein any combination of AEP testing and voluntary response is performed (i.e., when the subject hears or does not hear certain sounds, they click or indicate via a user interface to enable the assessment of sensorineural hearing loss (i.e., hearing loss caused by problems in the auditory nerve or auditory pathway / cerebral cortex)).

[0966] This earbud or headphone system invention may include a method for internally setting up noise hearing (HINT) within the system, wherein the method may include combining independent and / or standard speaker transducers for generating sound (i.e., embedded or connected to the earbud or headphone), wherein test examples include generating any of the sound sequences under quiet and noisy ambient audio conditions (i.e., competing sounds or audio sequences), which may be simulated as part of a current system. Additionally, the invention includes a plurality of speakers strategically positioned within the earbud or headphone of the invention, these positions being configured to simulate directional sound in order to assess the subject's ability to distinguish sounds from different directions. (i.e., the speaker positions relative to the ear canal, through the earbud or headphone structure, may tend to simulate changes in sound direction (i.e., speakers at the top, left, front, rear, bottom, etc.)) and assess the individual's neurological processing of sound direction (i.e., by means of a user interface, based on the activation of different speech at different locations in the subject's auditory spatial orientation, prompting the user to indicate perceived changes in sound direction).

[0967] This invention enables HINT testing, which includes (but is not limited to) several conditions for evaluating a subject’s hearing performance under a number of conditions including any one or a combination of the following: generating sentences or sound sequences without competing background noise; generating sentences or sound sequences with competing background noise; generating sentences or sound sequences with directional competing background noise (i.e., simulated by multiple strategic positions or positional speakers within an earbud or headphone system) in terms of (i.e., the sound is perceived to evolve from the front of the subject, which simulates the “center” sound of the “subject” in the left and right ears by activating similar sound and speaker orientations (i.e., the same sound and speaker frontal positioning activation); generating sentences or sound sequences directional to the left or right at 90 degrees (i.e., simulated by multiple strategic positions or positional speakers within an earbud or headphone system) in terms of (i.e., the level of sound can be turned from left to right by adjusting which speakers and what volume the strategically positioned speakers in the earbud or headphone produce).

[0968] This invention provides a method for calculating the signal-to-noise ratio under different conditions, based on the determination of loudness levels, requiring that the subject can correctly repeat a sentence at least 50% of the time before playing a sentence with higher than the background noise. This invention can use, for example, a standard built-in microphone or an earpiece microphone to record and analyze the correctness of the subject's ability to repeat sentences (burying or distinguishing the generation of competing background noise).

[0969] This earbud or headphone system invention may include a method for introducing tympanic cavity hearing assessment within the system, wherein the method may include one or more pressure sensors incorporated (i.e. embedded in, as part of, or attached to) in either or both earbuds or headphones, in a manner similar to those of a speaker or other device (i.e., part of the earbud or headphones, such as a calibrated speaker transducer and / or a micro-valve device for generating and measuring pressure and pressure changes required relative to the generated pressure and / or the generated airflow and / or pressure in the ear canal, such that the generated pressure and / or the corresponding air volume helps to describe tympanic membrane characteristics such as tympanic membrane perforation) to generate and change the pressure within the ear canal and measure the corresponding pressure or pressure leakage to determine the ear canal volume and, for example, the function of the tympanic membrane (i.e., a perforation in the tympanic membrane).

[0970] This earbud or headphone system invention may include a method of incorporating acoustic reflection testing capabilities within the system, wherein the method may include (i.e., embedded in, as part of, or attached to) three main components (each component may include a separate tube for the main ear canal, and the earbud forms a tight seal with the main ear canal). This earbud invention may include (for example only, but not limited to) any one or a combination of air coupling tubes, wherein one tube can emit sound through a speaker, another can connect the ear canal to a microphone, and another can be a pressure generating pump (i.e., a miniature pump within the earbud) capable of generating a pressure range typically between -200 and 400 Pa (1 Pa equals 0.1 debapa (daPa)), and / or another of said tubes can couple the ear canal pressure to a pressure measuring transducer (by...). The tube mentioned here may be one or more combined tubes. A series of tones can be generated by a loudspeaker, and the resulting impedance can be measured at a microphone (via an acoustic mirror). The resulting values ​​can be used to generate a graph called a tympanogram, which includes compliance or acoustic impedance corresponding to a range of pressure values. In this way, the invention may include one or more individual and / or standard loudspeaker transducers for generating sound (i.e., embedded or connected to earbuds or headphones), wherein one or more of the loudspeaker transducers are calibrated to generate a known sound pressure level, and when a tone (i.e., but not limited to a tone greater than 70 dBSPL) is presented to the subject to measure the subject's stapedius muscle (which protects the ear from loud noise, including the subject's own voice. For example, it may be 90 dBSPL or more on the subject's tympanic membrane).

[0971] This invention includes any one or a combination of sensory neuron (i.e., caused by problems in the cochlea, sensory organs, or hearing), conductive (i.e., caused by problems in the outer or middle ear) hearing loss, hearing noise (HINT), tympanic cavity (to determine how the eardrum and other structures in the middle ear function), and acoustic reflex testing (to assess the subject's hearing threshold and provide information about vestibular and facial nerve function).

[0972] • Pulse plethysmography (PPG) and output (see A&CD patent); based on an ear reflex pulse oximeter that facilitates non-invasive measurement of oxygen saturation (SpO2) and pulse rate (PR), and output and effects on measures including pulse amplitude, pulse arterial sound, pulse transient oscillation amplitude, PTT wake-up, alternative or qualitative blood pressure measurement, sleep stage confidence level, or measures based on vascular tone and probability of autonomic disturbances.

[0973] • Pressure pulse signal

[0974] Temperature measurement

[0975] • Monitoring of an individual's metabolism, force, or energy expenditure (see also armband-type metabolic monitoring device)

[0976] This invention provides an integration of a gyroscope system capable of determining a single tilt or angular position, which is referenced to gravity or horizontal position as a measure of health (i.e., gait, Parkinson's disease episode, fall detection) or wellness (optimal performance in sports, behavior, biomechanics, efficiency, improvement, etc.), which is further described in detail in the Health Status or Monitoring Details subheading of this document.

[0977] • Location information based on GPS or from communication systems, including (but not limited to) any one or a combination of CDMA / Code Division Multiple Access, GSM / Global System for Mobile Communications, Wi-Fi, satellite, LAN, WAN and / or Bluetooth systems;

[0978] • This invention provides a position sensor system (such as a metal ball in a switch cage device, capable of determining an individual's posture at any time); • This invention provides an assembly including a photoplethysmography pulse sensor.

[0979] This invention provides an assembly, as part of an earbud body (such as a wirelessly linked music or communication headset), comprising (but not limited to) any sensor for monitoring a cardiogram sensor (i.e., a sensitive membrane sensor system, such as an accelerometer), temperature (i.e., a thermistor, thermocouple, PVDF, infrared LDR, infrared LDR, and interface infrared LED (including an LED switch for three-dimensional thermal imaging characterization or mapping capability) capable of deploying near-field energy thermal characterization, related to an individual's force or energy expenditure or associated metabolic or calorie burning rate, as described in other parts of this document).

[0980] This invention provides a method of implementation that, for an individual wearing an anterior earplug, means enabling automatic hearing (which can cover music or ongoing mobile phone audio) in response to health conditions or related events, such as cardiac events or thresholds, respiratory rate or oxygen saturation, body temperature or other factors that may be harmful to safe and reasonable physiological conditions.

[0981] This invention provides a method for achieving health or safety conditions for an individual wearing a pre-earplug, including identifying rail traffic, raids, or detecting approaching vehicles that might go unnoticed due to sensory impairment associated with factors such as telephone calls or music. The invention can transcend music or ongoing telephone audio to notify the individual of danger they are waiting for or may be waiting for. Such a process or device can be used in conjunction with glasses or other wearable or portable cameras or audio monitoring devices.

[0982] This invention provides a wirelessly connected stereo or mono ear that can be combined with a health management system, which is capable of...

[0983] Any of the following combinations:

[0984] • Audio sound

[0985] • Integrated glasses with audio-video overlay functionality

[0986] • Integrated temperature sensor

[0987] Integrated pulse oximeter

[0988] Integrated volumetric measurement instrument

[0989] • An integrated volumetric measurement instrument with any information output, including:

[0990] Pulse amplitude

[0991] • Pulse propagation time

[0992] • Pulse and arterial sounds

[0993] • Pulse oximeter with plethysmography waveform

[0994] One or more ECG signals

[0995] ·Spherical motion detection

[0996] • Exercise detection

[0997] GPS system

[0998] · Gyroscope position detection

[0999] • Patient location detection

[1000] Electrophysiological sensors include any combination of the following:

[1001] Electroencephalogram (EEG) sensor

[1002] Electroencephalography (EEG), including vestibular testing

[1003] EMG sensor

[1004] PAMR sensor

[1005] • Pulse pulse reflection detection oximeter system

[1006] • Light reflectometer

[1007] • Audio noise cancellation system

[1008] • Auditory echo monitoring system

[1009] ·ER stimulation capacity

[1010] ·ER auditory response measurement ability

[1011] ·ER Hearing Test Echo Measurement System

[1012] • IP wireless interface capability

[1013] • IP wireless interface capability and video glasses overlay capability

[1014] Wireless data modulation and demodulation function

[1015] Wireless phone function

[1016] • Wireless video and mobile phone functionality with synchronized video overlay glasses function

[1017] This invention provides a telephone holder-combination telephone, entertainment, health tracking, and / or hearing aid earbuds or headphones, in headphones worn by one or two subjects. The invention incorporates the ability of a microphone within the earbud bud, wherein said microphone can measure ambient sound, including various orientations of speech, and analyze phase, amplitude levels, spectral composition, and compare characteristics between two or more said microphones placed in the ears of one or two subjects (and other locations).

[1018] One method for reconstructing sound is to process related speech in order to eliminate noise (including unwanted or background noise) and then guide the focus of auditory reception (i.e., based on the ultimate "sound source" of the headphone speaker driven by the steering, weighted by different microphone sound sources).

[1019] Depending on the subject's specific auditory requirements and personalized audio options (i.e., voice focus, music enjoyment, voice tuning in crowded or noisy environments, etc.), the headphones of interest to the driver may include multiple speakers driving each headphone and concentrated on both headphones to maximize spatial information for subject and / or voice audio focus and / or spectral filtering and / or background or unwanted background noise.

[1020] The present invention also provides a method for adding a wireless or wired version of conventional entertainment and / or health-sensing earbuds or headphones, which can extend traditional mobile phone or entertainment audio or video applications.

[1021] For specific subjects with varying hearing abilities, the invention can be calibrated and compensated using online applications or in specialized acoustic environments.

[1022] This invention provides EAR-B...

Claims

1. A sensor system for wearable applications, characterized in that, include: Sensors applied to the head or forehead, including one or more monitoring electrophysiological electrodes for monitoring and transmitting magnetic stimulation signals to the subject; The stimulation system is configured to generate the magnetic stimulation signal; The monitoring system includes an electronic module configured to monitor at least one electrophysiological signal; The processing of the calculated source localization of electrical stimulation facilitates the assessment of the source of brain stimulation or related spatiotemporal dynamic measurements; and synchronizes the monitored response with the transmitted magnetic stimulation signal.

2. The system according to claim 1, characterized in that, The treatment is also configured to assess the responsiveness of stimulated brain regions in order to provide biofeedback between the monitoring and processing response to stimuli and the generation or nature of the resulting stimuli, as a method to achieve the desired response effect.

3. The system according to claim 1, characterized in that, The processing is also configured to assess the responsiveness of the stimulated brain region and provide feedback between the nature of the monitored electrophysiological signals and the magnetic stimulation signals.

4. The system according to any one of claims 1-3, characterized in that, It also includes one or more vascular measurement sensors.

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