23 results about "Sleep onset" patented technology

A device and / or method for detecting a second instance of sleep onset within a nighttime treatment period according to a second criterion different from a first criterion associated with a first instance of sleep onset during the nighttime treatment period.

This invention relates to the application of frog seeds and their extracts in the preparation of sleep-improving products, belonging to the field of sleep health technology. Specifically, it relates to the application of frog seeds in the preparation of drugs, health products, or special diets with sleep-improving functions, and the application of frog seed extract in the preparation of drugs, health products, or special diets with sleep-improving functions. The frog seed extract is frog seed oil, obtained from frog seeds through supercritical CO2 extraction or cold pressing. The advantage is that animal pharmacodynamic experiments have confirmed that the frog seeds and their extracts of this invention can improve sleep. The sleep-improving functions specifically include one or more of the following aspects: shortening sleep onset time and alleviating sleep anxiety; improving sleep onset efficiency; prolonging sleep duration and increasing total sleep volume; reducing the number of nighttime awakenings and improving sleep continuity; improving the quality of deep sleep, increasing the proportion of deep sleep, and promoting bodily recovery.

According to an aspect, there is provided an apparatus (100) for assessing sleep of a subject, the apparatus comprising a processor (102) configured to: receive data indicative of one or more physiological parameters associated with a subject; determine, based on the data, two or more sleep parameters relating to sleep of the subject; and determine, based on the sleep parameters, whether the subject is suffering from (a) obstructive sleep apnoea, (b) insomnia, (c) comorbid insomnia and obstructive sleep apnoea, or (d) neither obstructive sleep apnoea nor insomnia, wherein a first sleep parameter of the two or more sleep parameters comprises Wakefulness After Sleep Onset for at least X Minutes, WASOXmin, wherein WASOXmin comprises the sum of awakenings with a duration of X minutes or longer during a sleep session, wherein X is equal to, or greater than, 1.

This invention discloses a plant-based amino acid composition for improving sleep and relieving anxiety, its preparation method, and its applications, relating to the fields of functional foods and nutritional health technology. The composition includes jujube seed extract, lily extract, poria cocos extract, polygonum multiflorum extract, arborvitae seed extract, clove extract, γ-aminobutyric acid (GABA), theanine, magnesium glycine, and L-glycine. This invention utilizes GABA to reduce nerve excitability; theanine to help improve relaxation; jujube seed extract to enhance sleep stability; glycine to lower core body temperature; and magnesium glycine to stabilize the nervous system. Its improving effects are manifested in: improving NREM sleep quality, enhancing sleep continuity, promoting deep sleep recovery, and reducing drowsiness the following day. It achieves the technical effects of shortening sleep onset time, increasing the proportion of deep sleep, reducing the number of nighttime awakenings, and improving the feeling of sleep recovery.

A neuromodulation system comprising a stimulation arrangement configured to deliver two or more stimulation modes; a memory storing machine-readable instructions; and a control system. The control system includes one or more processors configured to execute the machine-readable instructions to control the stimulation arrangement to deliver stimulation in one of the stimulation modes as a first primary mode to support the user's sleep onset, and to deliver stimulation in another one of the stimulation modes as a second primary mode to maintain the user's sleep after sleep onset.

A method performed by a head mounted display (HMD) device includes: determining a sleep onset preparation start time; and displaying, on a display, a sleep onset preparation screen to which a visual effect is applied, from the sleep onset preparation start time, in a stepwise manner during a sleep onset preparation time interval, where the visual effect that is applied in the stepwise manner comprises a visual effect of switching a virtual screen output through an entire display area of the display to a video see through (VST) screen, where the VST screen displays the virtual screen with a non-virtual screen as a background in the entire display area of the display, where the non-virtual screen is based on an image captured through a front camera, and where the virtual screen is based on content executed by the HMD device.

The invention relates to the technical field of sleep regulation and control, and aims to provide a psychological and physiological relay type sleep regulation and control system based on a sleep phase change critical point, so as to solve the problems that in the prior art, psychological guidance and physical intervention are separated, and the intervention opportunity faces state adaptation and detection lag, and improve the sleep regulation and control efficiency. The technical scheme can be summarized as follows: a processing module starts an electroencephalogram scanning module after being electrified and started, starts and keeps a user state judgment module after being started for a first time, starts a digital cognitive behavior therapy module if a judgment result is a high wake-up state, and starts a neuron avalanche phase change monitoring module if the judgment result is not the high wake-up state; after the neuron avalanche phase change monitoring module is started, multi-channel electroencephalogram scanning of a user is monitored according to a preset neuron avalanche phase change monitoring algorithm, and whether the time interference stimulation module needs to be started or not is judged according to a monitoring result. The method solves the problem of separation between psychological guidance and physical intervention, and is suitable for sleep regulation and control.

The invention provides a nerve-soothing and sleep-aiding compound for improving sleep quality and application of the nerve-soothing and sleep-aiding compound. The nerve soothing and sleep aiding compound for improving sleep quality comprises the following components in parts by weight: 10-30 parts of a spina date seed extract, 5-15 parts of a polygala tenuifolia extract, 2-5 parts of sandalwood, 2-3 parts of bergamot, 2-3 parts of corydalis tuber, 1-2 parts of albizia flower, 1-2 parts of chamomile, 2-3 parts of lavender, 3-5 parts of sweet orange and 8-20 parts of a poria cocos extract. According to the nerve-soothing and sleep-aiding compound for improving the sleep quality and the application thereof, the nerve-soothing and sleep-aiding compound adopts various natural plant extracts and functional components, is safe and free of side effects, does not generate drug dependence and drug resistance after being used for a long time, is suitable for being used by people with various sleep disorders, and is free of toxic and side effects. According to the compound, through the synergistic effect of various components, the sleep time can be remarkably shortened, the sleep time can be prolonged, the sleep depth can be improved, the sleep quality can be effectively improved, and the compound has a good improvement effect on sleep disorders caused by pressure, anxiety and the like.

The invention provides a sleep difficulty classification method and system based on electrophysiology, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a brain wave signal and a physiological signal within a specified time, and calculating a cognitive awakening index within each specified time according to the brain wave signal data, according to the physiological signal data, calculating a physiological awakening index in each specified time period; respectively calculating contribution values to the difficulty in falling asleep according to the cognitive wakefulness index, the physiological wakefulness index and the theta wave time ratio in the corresponding specified time; therefore, the contribution values are compared, and the main reason of the difficulty in falling asleep is judged. According to the method, complex physiological and psychological problems are converted into a computable and comparable quantitative model, accurate classification of reasons of difficulty in falling asleep is achieved, and therefore the success rate of sleep-aiding intervention and the user experience can be remarkably improved.

This invention belongs to the technical field of functional foods for beauty and sleep health, specifically relating to a beauty and sleep composition containing inactivated Akkermansia myxophilus. Existing beauty and sleep aid products typically have only one function. The composition of this invention contains beauty ingredients such as inactivated Akkermansia myxophilus, collagen peptides, and hyaluronic acid, as well as sleep aid ingredients such as GABA and theanine. This invention, through the synergistic effect of the gut-brain-skin axis, can achieve the effects of improving skin elasticity, increasing moisture, shortening sleep onset time, and improving sleep quality. The composition of this invention is stable at room temperature and can be formulated into a gummy candy form.

An object of a system according to an embodiment is to generate a sound in accordance with a user's interest and taste and reproduce an appropriate sound in accordance with a sleep state.SOLUTION: A system according to an embodiment includes a sound generation unit, a feedback collection unit, a learning information update unit, a sleep state determination unit, a falling asleep sound reproduction unit, and a rising sound reproduction unit. The sound generation unit generates a sound in accordance with the user's interest and taste using the generation AI. The feedback collection unit collects feedback from the user for the generated sound. The learning information update unit updates the learning information of the generative AI based on the feedback. The sleep state determiner determines a sleep state of the user based on biological data acquired from the smartwatch. The falling asleep sound reproduction unit reproduces a sound suitable for falling asleep based on the sleep state, and stops the reproduction of the sound after reaching a deep sleep stage. The wake-up sound reproduction unit reproduces a sound suitable for waking up based on the REM sleep state.SELECTED DRAWING: Figure 1

This invention relates to a levotetrahydropalmatine citrate, its preparation method, and its applications, belonging to the field of pharmaceutical technology. This invention provides a levotetrahydropalmatine citrate. Studies have shown that compared to other salt forms, the citrate form of levotetrahydropalmatine significantly improves its solubility. Furthermore, research has confirmed that levotetrahydropalmatine citrate can significantly reduce drug relapse preferences, with efficacy comparable to or even better than the injectable form, without causing significant adverse reactions and exhibiting good safety. Simultaneously, the sedative effect of levotetrahydropalmatine citrate is far superior to other salt forms. In addition, levotetrahydropalmatine citrate has therapeutic effects on sleep disorders, effectively shortening sleep onset time, increasing sleep duration, and improving sleep quality. Therefore, the levotetrahydropalmatine citrate provided by this invention has broad application prospects in the preparation of drugs for sedation, analgesia, treatment of sleep disorders, and treatment of drug addiction.

This system provides an information processing device that manages the user's sleep onset and overall sleep. [Solution] An information processing device comprising: a detection unit that detects the body movements of a user within a predetermined range; a determination unit that determines whether or not the user is in a sleep-ready state based on the detection result from the detection unit; and a processing execution unit that executes a first process when the determination result from the determination unit determines that the user is in a sleep-ready state.

This invention provides a sleep detection method and system based on multi-scale heart rate variability feature fusion, relating to the field of wearable device sleep monitoring technology. The method includes: acquiring RR interval signals via a PPG sensor, purifying them through a dedicated preprocessing pipeline, and extracting heterogeneous multi-scale HRV features using multiple sliding windows of different durations. These features include the median and standard deviation of the RRI (Rate Rate Indicator) reflected by a long window, and the minimum RRI and local cumulative features captured by a short window to quickly capture heart rate decline. An individualized baseline statistic is established based on a dynamic window before the estimated sleep onset time. Z-score normalization is used, combined with physiological orientation correction, to ensure all features show a consistent positive shift at sleep onset. Further engineering robustness is enhanced through asymmetric pruning. After calculating a comprehensive score, a continuously rising detection logic is used to determine the sleep onset time, and a confidence level is output. This invention achieves low-latency, high-precision sleep onset detection and is suitable for long-term real-time operation in resource-constrained wearable devices such as smartwatches.

A system is provided.SOLUTION: A system for suggesting an optimal time for a child to fall asleep, comprising: means for collecting sleep activity information; means for analyzing a child's Children's Day rhythm and tendency to fall asleep based on the collected information; means for generating a timeline for preparation before falling asleep based on a result of the analysis; and means for notifying a user of the generated timeline.SELECTED DRAWING: Figure 1

The invention discloses a closed-loop control sleep aiding system and method based on buoyancy bionics, and the closed-loop control sleep aiding system is constructed by fusing the Archimedes buoyancy law and the bionics principle. The closed-loop control sleep-aiding system realizes buoyancy balance through liquid blending of the outer liquid storage tank or the buoyancy tank and the floating body tank, and generates soft slight shaking by virtue of external force driving; the non-inductive wearable device monitors an HRV index in real time, and the data validity is guaranteed to be greater than or equal to 98% through an anti-interference algorithm The control module dynamically matches the shaking parameters and the somatosensory music according to the HRV state to form self-adaptive adjustment logic, the self-learning function and the abnormal awakening function are achieved, the sleep time is remarkably shortened, deep sleep is prolonged, noise is low, energy is saved, and the scheme solves the problems that existing equipment is single in intervention and insufficient in pertinence.

A method performed by a head mounted display (HMD) device includes: determining a sleep onset preparation start time; and displaying, on a display, a sleep onset preparation screen to which a visual effect is applied, from the sleep onset preparation start time, in a stepwise manner during a sleep onset preparation time interval, where the visual effect that is applied in the stepwise manner comprises a visual effect of switching a virtual screen output through an entire display area of the display to a video see through (VST) screen, where the VST screen displays the virtual screen with a non-virtual screen as a background in the entire display area of the display, where the non-virtual screen is based on an image captured through a front camera, and where the virtual screen is based on content executed by the HMD device.

This invention relates to the field of data processing technology and discloses a multi-granularity respiratory signal statistical inference and sleep staging decision-making system. The system comprises a signal acquisition and buffering module that segments a continuous respiratory acoustic signal sequence into continuous analysis windows; a multi-dimensional feature extraction module that extracts multi-dimensional observation feature vectors containing respiratory rate variation features and cross-window respiratory trend features; a dynamic transition probability generation module that acquires global sleep onset time parameters and continuous dwell time parameters, performs numerical updates on the initial state transition probability matrix, and generates a dynamic state transition probability matrix; and inputs the multi-dimensional observation feature vectors and the dynamic state transition probability matrix into a Markov model to calculate the posterior probability and output the classification result. This invention overcomes the aftereffect defect of static Markov models by reconstructing the state transition matrix through spatiotemporal dual variables, achieving accurate anti-disturbance and state locking against transient noise disturbances.

The present invention relates to a combination product comprising, as active substances, at least valerian, lemon balm, California poppy, and common poppy to aid relaxation and / or sleep onset. The invention also relates to the use of a combination product as defined above for the treatment of sleep disorders.

Composition including: a) Melatonin up to 5 mg; b) Magnesium up to 500 mg c) Withania somnifera up to 2 g; d) Gamma-aminobutyric acid up to 500 mg; e) L-tryptophan up to 1 g; f) L-Theanine up to 50 mg; g) 5-Hydroxytryptophan up to 100 mg; h) Matricaria chamomilla extract up to 500 mg; i) Valeriana officinalis extract up to 800 mg; and j) Vitamin B6 up to 5 mg.

To provide a sleeping environment corresponding to a sleeping user.SOLUTION: A biological information acquisition unit that acquires biological information of a human body in a control space installed in a building; a sleeping environment acquisition unit that acquires environmental data in a sleeping environment in the control space; a biological information acquisition unit that acquires biological information of a human body in a control space installed in a building; a sleeping environment acquisition unit that acquires environmental data in a sleeping environment in the control space; A control unit configured to control an air conditioner or an opening and closing device in the control space, wherein the control unit controls the air conditioner or the opening and closing device after a predetermined time has elapsed from a set sleep onset time or a sleep onset time that is a time at which it is determined that a user has fallen asleep based on the biological information acquired by the biological information acquisition unit.SELECTED DRAWING: Figure 1

The sleep staging platform disclosed herein enables accurate sleep stage classification by combining actigraphy data with heart rate data. The platform may use a multi-model approach that includes a first machine learning model to evaluate sleep stages using heart rate patterns from polysomnography datasets related to a wearable device. The platform may combine the outputs of the heart rate-based model with actigraphy features into a second model to further evaluate sleep stages. The platform may segment events based on timestamps to detect sleep stages and calculate clinically relevant sleep metrics such as total sleep time and wake after sleep onset. By using a multi-model approach, the platform reduces feature dimensionality, enabling practical training with small polysomnography datasets related to wearable devices. The combination of heart rate patterns and actigraphy features may enhance sleep staging accuracy, particularly when heart rate data is derived from motion-sensitive polysomnography signals.

A system (200) for assessing social jet lag comprises a wearable device (100) to be worn by a user (202), the wearable device (100) including an accelerometer to detect sleep data such as sleep onset time, wake-up time, and restlessness patterns, a physiological temperature sensor (110) to capture body temperature during sleep, an ambient temperature sensor (112) to detect room temperature, and a wireless module (206) to transmit sleep and temperature data A user device (204) receives the sleep data and temperature, determines sleep midpoints for workdays and weekends, correlates physiological and ambient temperature, calculates a sleep midpoint deviation score, and compares restlessness and temperature data against a personalized thirty-day baseline. The system (200) segments the user (202) into a balanced, socially skewed, or work-life skewed sleep category and generates a notification with personalized, context-aware recommendations to help recognize and manage social jet lag.