336 results about "Sleep duration" patented technology

The invention relates to the technical field of medical care management, in particular to an intelligent mental disease risk assessment system which comprises a physiological rhythm extraction module, a rhythm alignment module, an interference analysis module, a branch recognition module and an assessment output module. According to the method, the sleep duration and the heart rate change are continuously recorded, the corresponding relation between the sleep rhythm and the heart rate fluctuation is constructed, a quantifiable mental rhythm parameter set is formed, dynamic mapping is established between sleep interruption and the heart rate fluctuation, and the stability of the individual physiological rhythm and the time structure of rhythm deviation are effectively revealed. Anchoring is performed based on a maximum offset day, a time contrast section is established around a specific time point, and differential features of variables in the section are finely extracted, so that micro rhythm disturbance is dynamically captured and measured. A coupling factor evaluation mechanism is constructed by using cross decision logic of sleep time history and heart rate amplitude, and the sensitivity and multi-dimensional analysis ability of rhythm change recognition are enhanced.

The invention relates to the technical field of network load prediction, and particularly discloses a power supply energy saving system and method based on a load prediction intelligent dormancy strategy, and the method comprises the steps: collecting base station service load and power supply power data, and employing a neural network to accurately fit the nonlinear relation between the two for adjusting the power; constructing a multi-mode service load prediction model, generating a power supply power adjustment instruction in advance, and adjusting the power in time when the load prediction deviation exceeds a threshold value; frequent power fluctuation is avoided through a dynamic threshold mechanism based on hysteresis comparison; a sleep and wake-up strategy and a buffer mechanism are established to ensure that the state of the power supply is switched only when the load changes continuously, so that the switching accuracy and stability are improved; self-adaptive sleep duration and progressive wake-up adjustment are introduced, so that smooth transition and intelligent energy conservation of power supply operation are realized; the method can improve the energy efficiency of the power supply and reduce the energy consumption.

The present application relates to a device and method for monitoring and early warning Low-power-consumption landslide collapse based on time division multiplexing, comprises: a camera equipment is configured to obtain monitoring images; a RF front-end is configured to transmit and receive radar signals; an intelligent sleep equipment is configured to set sleep time and power down the equipment(s) connected to it to put into sleep mode when the device requires working in a low power consumption mode; a signal processing equipment is configured to realize interference measurement and Doppler detection in a time division multiplexing manner and generate early warning or forecast information; a 5G equipment and an Ethernet port are configured to send the measurement results and monitoring images to a mobile terminal or host computer. The present application realizes the joint work of Doppler detection and interference measurement within one radar device through adaptive time division multiplexing.

The invention discloses a sleep apnea two-stage detection method, and relates to the field of respiration detection, and the sleep apnea two-stage detection method comprises the following steps: collecting a trachea sound signal of sleep respiration of a user, and generating a Mel spectrum of the trachea sound signal; wherein the trachea sound signal comprises a breathing audio signal and a heart sound signal; constructing a sleep-awakening detection model based on a VGG16 network, and calculating the sleep duration of the user; performing sleep apnea section detection on the Mel spectrum by adopting a longitudinal box algorithm AV-Box; extracting S1 peaks and S2 peaks of the potential sleep apnea section, and calculating an RR interval according to the time interval of the adjacent S1 peaks; acquiring statistical characteristics of the RR interval, and performing apnea detection by using a support vector machine (SVM) according to the statistical characteristics; and calculating the sleep apnea hypopnea index AHI of the user according to the sleep apnea times and the sleep duration counted according to the apnea detection result. Aiming at low diagnosis precision in a sleep apnea detection method based on a sound signal in the prior art, the detection precision is improved.

The invention relates to an automatic mattress temperature adjusting method and system based on physiological data. According to the method, heart rate, body movement, respiratory rate and body temperature data of a user are collected in real time through a physiological parameter sensor in the intelligent mattress, and sleep stages of the user are identified on the basis of the data and comprise a falling asleep stage, a light sleep stage, a deep sleep stage and an awakening stage. And establishing an optimal sleep temperature database of the user, recording a corresponding relationship between physiological data of the user in different sleep stages and the mattress temperature, calculating a sleep quality score based on the body movement frequency and the deep sleep duration, and recording a compensation coefficient of the environment temperature and the mattress temperature at the same time. And determining a target adjusting temperature according to the current sleep stage of the user and the database information, and correcting the target adjusting temperature in combination with the environment temperature and the compensation coefficient to obtain a final adjusting temperature. The temperature of the mattress is dynamically adjusted to the corrected target adjusting temperature through a water circulation temperature control system arranged in the mattress, so that personalized sleep temperature control is provided.

The invention discloses a sleep assistance system and method for dynamic natural sound simulation, and particularly relates to the technical field of sleep assistance, comprising: acquiring historical preference data of a user and external environment data, generating a first reference coefficient based on the historical preference data of the user and the external environment data, the historical preference data comprises a sound type, a volume value and a playing duration; acquiring historical sleep cycle data of the user, and inputting the first reference coefficient and the historical sleep cycle data into a pre-constructed first sound training model; the sleep state is determined on the basis of the physiological evaluation coefficient obtained in real time, the sound playing strategy is optimized by comparing the sleep state with the preset sleep duration, and dynamic intelligent regulation and control of sleep assistance are achieved. In the sleeping process, sound parameters can be adjusted in time according to the actual duration condition of light sleep, deep sleep, dream or awakening state of the user.

There is provided a computer-implemented method for determining sleep misperception of a subject during a sleep session. The method comprises receiving sleep condition information. The sleep condition information comprises at least one of SDB information and insomnia information. The SDB information is representative of a sleep disordered breathing (SDB) condition of the subject based on a number of SDB events of the subject per unit of time. The computer-implemented method comprises receiving sleep quality information representative of a quality of sleep of the sleep session experienced by the subject. The computer-implemented method comprises determining a degree of sleep misperception based on the sleep condition information and the sleep quality information. The sleep misperception is representative of a difference between a subjective total sleep time of the sleep session experienced by the subject and an objective total sleep time of the subject in the sleep session.

The invention discloses a compound composition for improving sleep disorders, which is characterized by comprising the following components: an inhibitory neurotransmitter component, melatonin and a nano-lipid carrier, the nano-lipid carrier comprises phospholipid and cholesterol, the weight ratio of phospholipid to cholesterol is (1-6): 1, the weight ratio of phospholipid to cholesterol is (1-6): 1, and the weight ratio of melatonin to cholesterol is (1-6): 1. The inhibitory neurotransmitter component is wrapped in the nano-lipid carrier to form lipid nanoparticles, and the weight ratio of the inhibitory neurotransmitter component to the nano-lipid carrier is 1: (1-15). The compound composition can be prepared into a compound oral mucosa preparation, can be rapidly disintegrated when encountering saliva in the oral cavity, is good in patient compliance and small in side effect, all the components play a synergistic effect from different mechanisms through multiple target points, and the compound oral mucosa preparation can improve the sleep quality, prolong the sleep time and shorten the sleep latency; and patients with sleep disorders are helped to improve insomnia from the pathologic root.

The invention discloses a computer microcontroller low-power-consumption control method based on an RISC-V framework, and relates to the field of microcontrollers. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a core state cycle monitoring module, a sleep duration prediction unit, a dynamic voltage regulation unit, a multi-stage threshold cycle judgment module, a wake-up interference filtering unit and a closed-loop execution regulation module are configured. According to the computer microcontroller low-power-consumption control method based on the RISC-V architecture, a sleep duration prediction unit calculates a predicted sleep duration based on historical task data, a dynamic voltage regulation unit adaptively matches a core sleep voltage according to the predicted duration, hierarchical verification is performed on a core operation parameter through a multi-level threshold cycle judgment module, and the core operation parameter is subjected to low-power-consumption control based on the RISC-V architecture. And the wake-up interference filtering unit performs progressive filtering on an external wake-up signal, and controls the core to sleep / wake up in combination with the closed-loop execution adjusting module.

The embodiment of the invention discloses a sleep monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of determining whether a facial expression of a target user in a sleep area meets a preset condition or not; when it is determined that the facial expression meets the preset condition, detecting whether the duration of the target user in a static state reaches a preset duration; when it is determined that the facial expression meets the preset condition and the duration of the target user in the static state reaches the preset duration, it is determined that the target user enters a sleep state, and recording and continuous monitoring of the sleep condition of the target user are started; and generating a sleep report according to the sleep condition of the target user. According to the embodiment of the invention, a monitor can know the sleep cycle, deep sleep time and other information of the target user as the monitored person, understand the natural sleep law of the monitored person, and improve the sleep quality of the monitored person.

The present disclosure relates to servers, systems, and methods for dynamic risk evaluation using weighted factors. It introduces a decision intelligence-based framework for assessing risk. Traditional methods face challenges like limited data, biases, and static assessments, where the system described herein leverages advanced data analytics, machine learning, and / or predictive modeling to enhance accuracy and personalization. In some embodiments, the system is configured to enable users to enter parameters, targeting criteria, and / or factors for tracking. The system performs risk determination, outputs premiums, and automatically monitors changes in factors over time. In some embodiments, the system enables weightings for factors to be applied automatically, where in some embodiments, AI model are configured to generate the weightings based on predictions. Example factors include heart rate, BMI, and sleep time. In some embodiments, the system is configured to change insurance premiums without human intervention based on changes in life events and / or activity.

The invention discloses a method for detecting sleep apnea and related events based on a brain-computer interface. The method comprises the following steps: collecting physiological signals during sleep; performing signal preprocessing operation on the physiological signal to obtain a preprocessed physiological signal; performing automatic sleep staging on electroencephalogram signals in the preprocessed physiological signals by adopting a deep learning model to obtain a sleep staging result; extracting features corresponding to the sleep staging results to obtain sleep feature data; positioning an apnea related event through the sleep feature data to obtain an event positioning result; calculating the event positioning result and the preprocessed physiological signal by adopting a statistical method to obtain event statistical data; calculating an apnea hypopnea index according to the sleep staging result, the event statistical data and the total sleep duration; and generating a sleep monitoring report according to the sleep staging result, the event statistical data and the apnea hypopnea index.

The present invention discloses a sleep apnea monitoring method, comprising: acquiring EEG signals, EOG signals, and photoplethysmography signals; automatically staging sleep and calculating sleep duration based on the EEG and EOG signals; counting apnea and hypopnea events based on the photoplethysmography signals; and calculating the AHI index based on the calculated sleep duration (ST) and the number of apnea and hypopnea events (BSN). Furthermore, a corresponding head-mounted sleep apnea monitoring system and electronic device are also disclosed. The present invention enables real-time and accurate sleep staging and apnea diagnosis.

The invention discloses a sleep-aiding traditional Chinese medicine composition and a preparation method and application thereof. The sleep-aiding traditional Chinese medicine composition is prepared from 50-80 parts of spina date seeds, 50-80 parts of polygala tenuifolia, 50-80 parts of lilies, 50-80 parts of poria cocos, 30-50 parts of red dates, 30-50 parts of lotus seeds, 30-50 parts of longan aril, 30-50 parts of mulberries, 20-30 parts of seaweed polyphenols and 20-30 parts of gamma-aminobutyric acid. Pharmacodynamic tests show that the composition can remarkably shorten the sleep latency time of mice, prolong the total sleep time and remarkably improve the levels of 5-hydroxytryptamine, melatonin and gamma-aminobutyric acid in serum of the mice, so that the composition has an obvious sleep aiding effect through scientific proportioning and synergistic interaction of the raw materials.

In wireless communication, a user equipment (UE) may be configured to have lower-power sleep periods as well as wake-up periods. During a wake-up period, the UE may perform a paging operation that involves synchronization, monitoring for and decoding a paging notification that schedules a paging message, and receiving and decoding the paging message. When performing the paging operation, the UE has an opportunity to measure one or more properties of the wireless channel. In some embodiments, a UE is configured to measure a channel property using a downlink signal during a paging operation and report the measurement. Technical benefits may include the ability to measure a property of the wireless channel using a downlink signal already transmitted for the purposes of the paging operation, and report the measurement result to the network, which the network may then use for more effective control and operation.

The invention provides a state transmission method, a screening method, a screening system and a medium for vehicle-end equipment, the state transmission method is applied to vehicles, each vehicle comprises a battery replacement controller, and the state transmission method comprises the following steps: when an automatic wake-up function is started, if the continuous sleep duration is greater than a preset first duration threshold, the battery replacement controller starts the automatic wake-up function, and if the continuous sleep duration is greater than the preset first duration threshold, the battery replacement controller starts the automatic wake-up function; and if yes, automatically waking up and sending a login message to the Internet of Vehicles platform, so that the Internet of Vehicles platform obtains the online state of the vehicle end. According to the invention, the Internet of Vehicles platform screens out the vehicle with overlong offline time as the target vehicle according to the receiving time point of the login message of each vehicle to carry out abnormity tracking and troubleshooting, and the automatic wake-up function of the battery replacement controller is utilized to reduce the consumption of electric energy of the vehicle, so that the power consumption of the vehicle is reduced. On the basis that the electric energy consumption of the vehicle is not increased basically, the range of the vehicle needing to be tracked and checked is efficiently and quickly narrowed, the checking time and the workload of after-sales maintenance can be greatly shortened, and quick tracking and response of vehicle end equipment faults are facilitated.

The invention relates to the technical field of positioning systems, and provides a label positioning system, a label positioning method and a label positioning device. The label positioning system comprises a target label and a positioning base station, and the target label sends an ultra-wideband signal to scan the surrounding environment; when the positioning base station enters the sleep state, the timer is reset and starts counting, and when the count exceeds a first set threshold value, the positioning base station quits the sleep state and enters the working state; the current first set threshold value is obtained according to the moving speed prediction information of the target label carried by the ultra-wideband signal monitored recently before the current working state is carried out; when the positioning base station monitors the ultra-wideband signal in the current working state, the positioning information of the positioning base station itself is sent to the target label; and the target label obtains the current position of the target label according to the positioning information sent by the positioning base station. By adopting the system, the sleep time of the positioning base station can be prolonged and the power consumption of the positioning base station can be reduced when the target label moves slowly.

There is provided a sleep tracking system comprising a baby sleep tracking device and an adult sleep tracker device. The baby sleep tracking device is configured to track a baby's sleep patterns. The adult sleep tracker device is configured to track an adult's sleep patterns. The sleep tracking system is configured to generate a coordinated sleep schedule.

A method for operating a sleep assistant during a charging process of a vehicle includes receiving a predicted charging time and determining a preferred sleep duration of a vehicle occupant. The method also includes determining a wake-up time of the vehicle occupant depending on at least one of the group consisting of the predicted charging time and the preferred sleep duration of the vehicle occupant. The method further includes adjusting the wake-up time if an extension of the predicted charging time is detected by the vehicle, and providing a wake-up setting to the vehicle occupant depending on the wake-up time or the adjusted wake-up time.

The invention relates to a sleep monitoring method and device. The method comprises the following steps: acquiring sleep monitoring information of a user in a monitoring period, wherein the sleep monitoring information comprises electroencephalogram data, myoelectricity data and electro-oculogram data; the method further comprises the step of determining user sleep information based on the electroencephalogram data, the myoelectricity data and the electro-oculogram data in the monitoring period, and the user sleep information comprises sleep time information and sleep monitoring information in a sober sleep stage, a non-fast eye movement sleep stage and a fast eye movement sleep stage. In addition, the method further comprises the step of determining sleep time information and sleep monitoring information under three sub-stages of the non-fast eye movement sleep stage in the sleep information of the user based on the electro-oculogram data under the non-fast eye movement sleep stage. Through the mode, the sleep staging distribution condition of the user in the current monitoring period can be determined based on the multi-dimensional data monitored by the user in the current monitoring period, and the sleep conditions of the user in different monitoring periods can be accurately reflected.

The invention relates to the technical field of alarm clocks, in particular to an intelligent alarm clock and a control method thereof. The control method of the intelligent alarm clock comprises the following steps: monitoring and acquiring sleep quality data of a user in a sleep area in real time; outputting a sleep quality report and a corresponding sleep suggestion according to the acquired sleep quality data; before the preset alarm time, starting an awakening mode according to the sleep state of the user; adjusting preset schedule reminding time and preset schedule reminding content according to the weather condition and the real-time traffic condition of the position where the user is located; and controlling to output the adjusted preset schedule reminding content at the adjusted preset schedule reminding time. According to the intelligent alarm clock and the control method thereof, the functions of sleep monitoring and sleep suggestion providing are achieved, the user can be awakened in the appropriate sleep time, the awakening discomfort is reduced, schedule arrangement can be optimized, multiple functions are achieved, and better user experience is provided.

Provided is a computer program, an information processing device, and a method that are used to estimate a health state of a target user based on a history of behaviors executed by the target user, and have at least partially improved performance. According to one embodiment, a computer program can cause, by being executed at least one processor, the at least one processor to function to: acquire target behavior data for identifying a history of behavior executed by a target user; and output, from an estimation model generated by executing supervised learning, target sleep state data for identifying a sleep state of the target user, the target sleep state data including at least one of target property data for identifying a sleep property of the target user, target rhythm data for identifying a sleep rhythm of the target user, target time data for identifying a sleep time of the target user, and target category data for identifying a sleep category to which the target user belongs, by inputting the target behavior data to the estimation model.

A network of devices includes a power-constrained device that uses two separate physical channels associated with different wireless communications protocols to communicate with a device and to communicate directly or indirectly with a controller. In an embodiment, the two separate physical channels include a dedicated high-power, high-throughput physical channel of a primary wireless communications protocol that is used to communicate with the controller in a normal mode of operation and a side channel, which is a lower power, lower throughput physical channel of a secondary wireless communications protocol to receive triggers from sensors and that may be used to directly or indirectly communicate with the controller in the normal mode of operation or in a lower power mode of operation. In an embodiment, the dedicated high-power, high-throughput physical channel is configured in a lower power state (e.g., idle or off) while a sleepy node is in a power-saving mode.

An information processing apparatus includes sound selection means for selecting a sound to be outputted from a sound candidate group, sound output means for outputting the selected sound when an output condition is satisfied, sleep state estimation means for estimating a sleep state of a user based on a result of measurement by a sensor that measures body motion of the user, hours-of-sleep calculation means for calculating hours of sleep of the user based on the estimated sleep state of the user, and addition means for adding a new sound to the sound candidate group based on the calculated hours of sleep of the user.

A battery management method and a related product. The method comprises: if a battery management device enters a first wake-up state from a sleep state, determining a first sleep duration of the battery management device before entering the first wake-up state; determining a target offline balancing duration on the basis of the first sleep duration; and if the battery management device enters the sleep state from the first wake-up state and a second sleep duration during which the battery management device is in the sleep state reaches a set sleep duration, performing offline balancing processing on a battery pack on the basis of the target offline balancing duration.

The embodiment of the invention provides an energy-saving control method and device for servers in a cluster, equipment and a storage medium, and relates to the technical field of servers. The method comprises the following steps: acquiring the total dormancy duration of each dormancy server in a dormancy state in a cluster, acquiring the equilibrium duration of each dormancy server, selecting the dormancy server of which the total dormancy duration is greater than or equal to the equilibrium duration as a server to be awakened, and controlling at least one server to be awakened to exit the dormancy state. The balanced duration is used as a standard for evaluating whether the dormant state is ended or not, and the situation in which the energy consumption can be reduced most effectively by waking up the dormant server is determined. The server with the maximum potential energy-saving value is selected from the cluster to execute sleep or wake-up operation, instead of making a decision only based on whether the server is in an idle state or not. And more refined energy management is realized, and meanwhile, the influence on the processing performance of the system is reduced to the greatest extent, so that the overall energy efficiency level is improved.

The invention discloses a personalized sleep quality adjusting method and device based on big data analysis, and relates to the technical field of intelligent control, and the method comprises the steps: monitoring a sleep user in real time according to a multi-modal monitoring sensor, and obtaining physiological feature, environment feature and behavior feature data; loading the expected sleep duration of the user, fitting sleep quality expectation in combination with big data equipment and a time zone division granularity constraint table, and establishing a sleep quality expectation curve; performing real-time sleep quality evaluation based on the feature data to obtain a real-time sleep quality coefficient; performing negative variation depth evaluation by comparing the expected curve to generate sleep quality negative variation depth; according to the negative variation depth and the feature data, an intervention strategy is decided through a positive intervention channel; and the sleep quality is adjusted according to the intervention strategy, so that the technical problem that the sleep quality adjustment is lack of individuation and real-time performance due to the fact that monitoring and analysis cannot be performed according to the characteristics of different user individuals in the existing sleep quality adjustment technology is solved.

The invention discloses a plant lactobacillus HUCF11 strain and application thereof in preparation of a medicine for relieving ferroptosis, and belongs to the technical field of functional microorganisms. In order to excavate a microecological preparation for treating ferroptosis-related diseases, the invention separates a plant lactobacillus HUCF11 strain, and the strain HUCF11 strain is proved to have better tolerance and no toxicity to artificial gastrointestinal fluid through a simulated gastrointestinal fluid experiment and a toxicity evaluation experiment; the establishment of a drosophila ferroptosis model proves that the following symptoms caused by ferroptosis can be improved by taking the strain HUCF11: degeneration of action ability, shortening of sleep duration, anxiety and unease, reduction of DPPH free radical scavenging ability and antioxidant ability and reduction of glutathione level; the expression of an intestinal tissue ferroptosis related gene gpx4 is abnormal; and the intestinal flora structure is disordered. The strain HUCF11 provided by the invention can be used for preparing medicines for relieving ferroptosis, and a new way is opened up for relieving ferroptosis.

The invention belongs to the technical field of functional preparations, and discloses a composite emulsion for improving insomnia and a preparation method thereof. The composite emulsion is prepared from the following components in percentage by volume: 70 to 95 percent of modified fucoidin solution with the concentration of 0.5 to 3 mg / mL, and the balance of melatonin-containing medium chain triglyceride, the content of the melatonin in the composite emulsion is 0.02 wt%. The compound emulsion is strong in stability and high in bioavailability, and can effectively resist an acid environment in a stomach and protect melatonin from being delivered to intestinal tracts. Through verification, the average core sleep duration of a subject taking the compound emulsion is increased by 21.05% compared with that of the subject taking melatonin only; the average waking time is shortened by 40% compared with that of melatonin, and the effect is remarkable.

The present invention relates to a valerian composition and / or valerian extract for the prevention, improvement, and maintenance of sleep disorders and / or sleep management, and as such, improves sleep quality, improves sleep time, improves sleep duration, reduces sleep disturbances, and maintains healthy stress levels in subjects in need thereof. A valerian composition comprising a valerian extract and at least one pharma- tically and / or nutraceutical acceptable excipient. The present invention further encompasses the valerian composition, which is further formulated in various forms, such as powders, beadlets, granules, capsules, tablets, oil suspensions, films, or any other suitable oral or topical dosage forms, using pharma-tically and / or nutraceutical acceptable excipients.