328 results about "Sleep quality" patented technology

The invention provides a sleep assisting system based on photoacoustic magnetic vibration wave resonance, and relates to the technical field of sleep assisting. The system comprises an acquisition unit, a processing unit, a stimulation unit and an evaluation feedback unit. Determining a sleep stage of the user, analyzing phases of multi-scale electroencephalogram rhythm components such as slow waves and spindle waves in a cross-scale manner, and extrapolating and predicting a phase value of a target electroencephalogram rhythm at a future moment in combination with a recent phase trajectory; taking the predicted phase as a target state, mapping a rising / falling slope of a slow wave form into an intensity change parameter of photoacoustic and magnetic vibration stimulation by constructing a mapping channel, and selecting an optimal stimulation combination for output through a decision model based on the intensity change parameter; calculating a phase locking effect index, and adjusting a phase prediction model parameter by using an optimization algorithm according to the index so as to optimize subsequent stimulation; and linkage regulation and control of an external environment are supported, and centralized monitoring of sleep states of multiple users can be realized. According to the invention, self-adaptive guidance of sleep brain rhythms is realized, and the sleep quality is effectively improved.

The invention provides a multi-mode adaptive wave simulation control system and method for a deep sleep physiotherapy cabin. Belongs to the technical field of fluid mechanics and health intervention. The method comprises the steps that multi-modal physiological parameter collection is conducted on a user on a deep sleep physiotherapy cabin, a real-time physiological data set is generated, the current sleep stage of the user is deduced through a time-frequency analysis and machine learning model on the basis of the data set, a sleep stage label is generated, a pre-trained wave mode generator is dynamically called according to the sleep stage label, and the deep sleep physiotherapy cabin is obtained. An initial set of wave parameters matching the current sleep stage is generated. By sensing the physiological state of the user in a non-contact mode, deducing the sleep stage and dynamically generating and adjusting the wave modes such as sleep guiding and deep sleep maintaining, water fluctuation accurately adapts to the physiological requirements of the user in different sleep stages, a traditional static wave mode is abandoned, highly-personalized sleep adjusting experience is provided for the user, and the sleep quality is effectively improved.

The invention discloses a sleep state self-adaptive layered regulation and control method and platform based on an environment regulation window, and relates to the technical field of self-adaptive control, and the method comprises the steps: carrying out the sleep state analysis according to a physiological data sequence, obtaining a real-time sleep stage, carrying out the scheduling task distribution, and generating a function unit scheduling sequence; performing data acquisition priority management and control on the wearable device to obtain real-time sleep associated data; generating a sleep environment adjustment strategy by taking the real-time sleep stage as an environment adjustment constraint; after updating the sleep environment of the user, activating an environment adjusting window; and operating a hierarchical scheduling architecture by taking an environment adjustment window as a time constraint, and circularly performing adaptive control updating. The technical problem that in the prior art, due to the fact that the sleep environment is difficult to adjust accurately in real time according to the sleep state of the user, the sleep quality of the user is low is solved, and the technical effects that the sleep state of the user is accurately judged, the sleep environment is dynamically and adaptively adjusted, and the sleep quality is improved are achieved.

The invention discloses a plant lactobacillus and application thereof in preparation of gamma-aminobutyric acid and improvement of sleep, and relates to the technical field of biology. According to the present invention, the plant lactobacillus XBMU-SN-23 has been preserved in the China General Microbiological Culture Collection Center (CGMCC) on December 19, 2025, and the preservation number is CGMCC No.37118. The present invention further provides applications of the plant lactobacillus XBMU-SN-23 in gamma-aminobutyric acid preparation and sleep improvement. A metabolite of the strain XBMU-SN-23 has a sleep aiding function, and can regulate and control a neurotransmitter system to improve sleep quality by up-regulating GABA, 5-HT, IL-1 and MT, down-regulating Glu and DA and regulating protein quantity expression of a 5-HT1A receptor, a GABAAR alpha 1 receptor and a GABAAR gamma 2 receptor. Therefore, the plant lactobacillus XBMU-SN-23 has a wide application prospect in the product for preventing or treating insomnia.

A proposal system (1) comprises an acquisition unit (220) that acquires body information relating to the body of a user and action schedule information relating to an action schedule of the user after bathing, a determination unit (230) that determines bathing information for improving the quality of sleep of the user in accordance with the acquired body information and action schedule information, and an output unit (240) that outputs the determined bathing information to the user.

The invention belongs to the technical field of nursing pillows, and discloses a pillow with a good shoulder and neck nursing effect, the pillow comprises a neck pillow, the middle part of the inner cavity of the neck pillow is movably sleeved with a high-resilience sponge, and the left side and the right side of the inner cavity of the neck pillow are movably sleeved with filling sponges. The neck pillow, the filling sponge and the pillows are arranged, when an operator uses the neck pillow, the neck pillow surrounds the neck, then the first buttons and the second buttons are clamped, and therefore the whole neck pillow is worn, when the operator lies flat, the back side of the head is located between the two pillows, and the back side of the head is located between the two pillows; the high-resilience sponge and the filling sponge can support the cervical vertebra so that the cervical vertebra can be protected, the whole neck pillow can rotate along with turning over of an operator when the operator lies on the side, the pillow can fill a gap between the head and a bed, compression on the shoulders and the neck is reduced, and the comfort of the operator is improved. And therefore, the problems of noble bags and shoulder inner buckles are relieved, the sleep quality is improved, and a human body has a better posture.

Some aspects provide an approach for optimizing sleep quality by addressing several components of sleep: falling asleep, maintaining sleep, and waking up refreshed. Some aspects include example systems, devices, and techniques that describe the significance of distal and core body temperatures to achieve these sleep components. For example, by facilitating an increase in distal skin temperature, the example systems, devices, and techniques promote a decrease in core body temperature, which can be associated with reduced sleep onset latency. Maintaining a steady decrease in core body temperature during the initial sleep cycle can support prolonged sleep maintenance. As users approach their wake time, an increase in core body temperature can be encouraged to enhance alertness and improve the waking experience. These example systems, devices, and techniques allow for a tailored sleep environment (e.g., an in-bed microenvironment) that adapts to the physiological needs of the user, contributing to overall improved sleep quality and user satisfaction.

The invention discloses a portable electroencephalogram sleep detection and analysis system and method. The portable electroencephalogram sleep detection and analysis system comprises an in-ear electroencephalogram acquisition unit which is used for acquiring differential EEG signals in ear canals and converting the signals into digital data streams for transmission; the data processing and calculating unit is used for carrying out preprocessing operation on the digital data flow transmitted by the in-ear electroencephalogram acquisition unit; and the sleep staging unit is used for inputting the preprocessed data into an event-driven time sequence classification model, and the model reads a signal sequence in a sliding window mode, completes judgment and classification of sleep stages and generates a corresponding sleep quality evaluation report. According to the invention, the calculation amount is reduced by using the snn with low power consumption, so that the staging system is integrated into the embedded platform, meanwhile, the problem of poor staging effect of wearable sleep monitoring equipment is solved, and the intelligent sleep staging system is high in portability, simple and convenient to use, high in integration and relatively low in cost.

The invention provides a sleep nursing device capable of automatically adjusting temperature, which relates to the field of sleep nursing and comprises a shell, a surface shell and a flexible electric heating sheet, the inner side face of the machine shell is connected with a control mainboard through bolts, a through hole is formed in the position, close to the left end, of the upper side face of the machine shell, a wireless transceiver is installed in the through hole of the machine shell, a meter cover is bonded to the lower side face of the meter shell, an infrared temperature measuring sensor is installed in the through hole of the meter cover, and a miniature wireless transmitter is installed in the through hole of the meter shell. The left end and the right end of the flexible electric heating piece are each provided with an attaching pad in an adhesive mode. Through the arrangement of an infrared temperature measurement sensor, a micro wireless transmitter, a wireless transceiver and a flexible electric heating sheet, the temperature of the heating mattress can be automatically regulated and controlled according to the body temperature change rule in different sleep periods at night; the problem that the sleep quality of a patient is damaged due to uncomfortable sleep temperature of a human body caused by the fact that a traditional warm mattress in sleep nursing cannot automatically control and adjust the temperature according to the temperature change of the human body sleeping at night is solved.

This invention provides an intelligent wake-up method, an intelligent control system, an electronic device, and a storage medium. The intelligent control system includes at least a control module and an LED light panel. The LED light panel is equipped with an LED light source module. When the wake-up conditions are met, the control module controls the color temperature of the LED light source module to be equal to a color temperature threshold during the wake-up period. The color temperature threshold is configured based on color temperature-emotion evaluation data. During the wake-up period, the control module controls the output power of the LED light source module to change linearly with time, causing the illuminance of the LED light panel to change from dark to bright, simulating the sunrise process, thereby waking up the user. The difference between the integral of the LED light panel's illuminance over time and the eye exposure threshold is within a preset range. The eye exposure threshold is configured using eye exposure data, arousal evaluation data, and sleep quality data.

This invention belongs to the technical field of sleep quality analysis, specifically relating to a sleep quality analysis system and method based on sensors in a medical bed, to address the technical problem of existing methods relying too heavily on duration statistics while neglecting the continuity and circadian rhythm of sleep. The analysis method includes: S1, acquiring vital sign signal data collected by sensors in the medical bed within a sleep cycle and dividing it into multiple continuous time segments; S2, extracting physiological indicators such as respiratory rate, heart rate, and body movement amplitude within each time segment, and calculating the variability depth of the corresponding time segment; S3, generating a variability depth baseline; calculating non-steady-state disturbance factors based on the frequency and duration of micro-awakening disturbance segments; and S4, generating a comprehensive sleep quality score. The analysis method of this invention improves the comprehensiveness and objectivity of the assessment results, more realistically reflecting sleep health status.

This invention relates to a high-density sensory mattress, comprising a mattress body, flexible tactile sensors, and a circuit. The mattress body has recessed grooves in which multiple flexible tactile sensors are disposed. The flexible tactile sensors are characterized by comprising an upper insulating layer, an upper electrode layer, a middle pressure-sensitive layer, a lower electrode layer, and a lower insulating layer. The middle pressure-sensitive layer is located between the upper and lower electrode layers. Both the upper and lower electrode layers consist of several evenly spaced linear electrodes. The circuit comprises a signal acquisition unit and a host computer. The signal acquisition unit uploads the acquired signals to the host computer via Bluetooth communication. This high-density sensory mattress can not only analyze the user's sleeping posture but also obtain the user's breathing and heartbeat signals through changes in pressure values, providing data support for assessing the user's sleep quality.

The invention discloses a snore extraction method, a storage medium and an earphone. The snore extraction method comprises the following steps: acquiring a stored environment audio signal, a posture signal and a heart rate signal; noise features, correlation features and heart rate features are extracted from the environment audio signals, the posture signals and the heart rate signals; fusing the noise features, the correlation features and the heart rate features to obtain a fused feature sequence; obtaining a plurality of corresponding frame-level probabilities according to the fused feature sequence and a preset snore recognition model; and extracting an audio signal of the target snore according to the frame-level probability and a stored environment audio signal. Compared with the prior art, the method has the advantages that the target snore can be recognized and extracted in a complex snore scene by means of multi-mode integration and frame-level analysis of the noise features, the correlation features and the heart rate features, the accuracy of target snore audio extraction is improved, and then the accuracy of subsequent sleep quality analysis is improved.

The purpose of the present disclosure is to provide a device and a method for easily deriving the sleep quality of a user.　In a server 100 of the present disclosure, a log acquisition unit 103 acquires log information of a portable terminal 200 (user terminal) which is used by a user. On the basis of the log information, an estimation unit 108 estimates a user situation (sleep time, terminal use situation immediately before bedtime, sleep environment, circadian rhythm, etc.) that affects sleeping. Then, the estimation unit 108 estimates (corresponding to deriving) the sleep quality of the user on the basis of the user situation.

The invention relates to the technical field of signal processing, in particular to a vital sign risk assessment method for ballistocardiogram signals, which comprises the following steps of: calculating heart rate index data, sleep quality index data and sleep apnea index data based on the ballistocardiogram signals and respiratory effort signals acquired in a user monitoring process; the vital sign risk assessment method and device are used for performing vital sign risk assessment and improving the accuracy and efficiency of vital sign risk assessment.

1. The name of the design product: sleep aid instrument. 2. The use of the design product: the product is a sleep aid instrument worn on the eye, used to improve sleep quality. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

The utility model relates to the technical field of articles for daily use, in particular to a pillow beneficial to sleep, which comprises a pillow body, the pillow body comprises an inward concave pillow part and outward convex vibration parts, the vibration parts are positioned on two sides of the pillow part, and vibration components are arranged in the vibration parts; a sleep-aiding pillow cushion is arranged in the pillow body, and the upper portion of the sleep-aiding pillow cushion is in a trapezoid shape which is arranged in a layered mode and sinks from the two sides to the middle. The top of the pillow body is fixedly connected with a piezoelectric sensor; a plurality of groups of sounding cylinders are arranged on the top of the pillow body and positioned on two sides of the piezoelectric sensor; a data analysis module is arranged at the bottom of the piezoelectric sensor, and the data analysis module is connected with the piezoelectric sensor; a pillow inner is arranged in the sleep-aiding pillow cushion. The sleep condition of the user is judged by detecting the change frequency of the pressure applied to the pillow by the user, and corresponding measures are taken according to the sleep condition to improve the sleep quality and comfort degree of the user.

The invention relates to the technical field of sleep quality monitoring, and provides a non-intrusive user sleep quality monitoring method and system.The comprehensive and intelligent sleep quality monitoring system is constructed by organically integrating a feature analysis module, a parameter optimization module, a phase synchronization module and a double-loop feedback module, all the modules cooperate with one another and share data, and therefore the sleep quality of a user can be effectively monitored. The sleep quality of a user is analyzed, monitored and intervened from multiple dimensions, the feature analysis module provides rich and accurate feature data for follow-up, the parameter optimization module determines stimulation parameters based on the feature data and physiological features of the user, and the phase synchronization module optimizes stimulation signals according to the stimulation parameters and brain phase differences. And the double-loop feedback module monitors the stimulation effect in real time and dynamically adjusts the stimulation effect, so that the system adaptively adjusts the intervention mode according to the real-time sleep state and individual difference of the user, and the accuracy and effectiveness of sleep quality monitoring and improvement are improved.

The utility model provides a lamp and a light control system, the lamp comprises a mounting main body and a light-emitting assembly, the light-emitting assembly is mounted on the mounting main body, the light-emitting assembly can generate emergent light with multiple wavelengths, the lamp has multiple illumination modes, each illumination mode corresponds to the emergent light with at least one wavelength, and the emergent light with at least one wavelength is emitted by the light-emitting assembly. When the lamp is in one illumination mode, the light-emitting assembly can generate emergent light with the corresponding wavelength. Therefore, a user can select different illumination modes according to different requirements so as to obtain light rays with specific wavelengths. For example, certain wavelengths may be used to improve attention and work efficiency, while other wavelengths may help relax or improve sleep quality.

The invention discloses a scheme design of a temperature and humidity dual-response eupatorium extract slow-release pillow filler, and belongs to the technical field of functional home textile materials. The problems that an existing eupatorium pillow is single in filler response, fast in effective component loss, poor in signal transmission and insufficient in comfort level are solved. According to the technical scheme, the preparation method comprises the following steps: preparing an eupatorium volatile oil-hydroxypropyl-beta-cyclodextrin inclusion compound (the inclusion rate is 88-92%), and loading the inclusion compound on gradient pore activated ceramic balls (the surface layer is 5-8 [mu] m, the transition layer is 8-10 [mu] m and the core layer is 15-20 [mu] m); coating a composite coating of a beewax-sunflower wax-coconut fat temperature-sensitive matrix (phase change is 32-33 DEG C) and hydroxypropyl methyl cellulose-sodium alginate humidity-sensitive gel (50%-70% RH expansion is 150%-200%); and a three-layer composite bag (3 mm silica gel salient points are arranged on the inner layer) is matched. The 24-hour release rate of the filler during double-signal triggering is 68-72%, the day time is less than or equal to 15%, the service life is 9 months, and the filler is mainly applied to sleep-aiding pillows to improve the sleep quality and comfort.

The application provides tea natural lipid nanovesicle and a preparation method and application thereof, and belongs to the field of biotechnology and medicine. The method comprises the following steps: (1) washing fresh tea leaves and placing the tea leaves in a grinder, adding ddH2O, and grinding to obtain tea leaf grinding liquid; (2) centrifuging the tea leaf grinding liquid and collecting supernatant; (3) filtering the supernatant through a 0.22-0.45 mu m filter membrane to obtain clear liquid containing intact tea natural lipid nanovesicles; and (4) concentrating, washing and filtering and / or purifying the clear liquid to obtain intact tea natural lipid nanovesicles. The application of the tea natural lipid nanovesicle in improving sleep quality can shorten the sleep latency, improve sleep continuity and reduce the comprehensive sleep burden score; and can selectively regulate part of specific bacteria without significantly disturbing the overall structure of the intestinal flora, and exhibits a mild, selective and steady-state friendly microecological regulation characteristic.

The invention is applied to the field of sleep management, and discloses a sleep state recognition regulation and control method and system.The method comprises the steps that piezoelectric signal data captured by piezoelectric sensing equipment and optical pulse signal data captured by wearable sensing equipment in the sleep process of a target user are obtained; body movement artifact removal processing is conducted on the piezoelectric signal data and the optical pulse signal data, and first piezoelectric signal data and first optical pulse signal data are obtained; performing fusion processing on the first piezoelectric signal data and the first optical pulse signal data to obtain a target fusion feature; determining a sleep type of the target user based on the target fusion feature, performing sleep state recognition on the target fusion feature based on the sleep type, and generating a sleep core index corresponding to a recognition result; and according to the sleep type and the sleep core index, generating and executing a sleep regulation strategy of the target user. According to the method, the sleep quality of the user is improved.

The invention discloses a sleep monitoring and intelligent early warning system and method based on a multi-modal time sequence signal, and the system comprises a multi-modal sensor module which is used for collecting an original heterogeneous time sequence signal of a subject in a sleep period; the time sequence data preprocessing module is used for performing timestamp alignment, band-pass filtering noise reduction, baseline drift correction and sliding window segmentation on the original heterogeneous time sequence signals and extracting multi-modal feature vectors; the sleep feature recognition module is used for receiving the multi-modal feature vector, performing deep feature learning and outputting sleep staging probability distribution and a sleep apnea event detection mark; the large language model module is used for performing joint coding on an output result, a historical sleep file of the subject and a clinical diagnosis text to generate a structured sleep quality assessment report and health risk association analysis; and the multi-level intelligent early warning and decision support module is used for triggering early warning signals of different levels and generating personalized sleep intervention suggestions.

A method includes identifying electroencephalogram (EEG) sensor data obtained by a wearable device associated with a user's head and providing the EEG sensor data as a first data input to a first trained machine learning model. A first output associated with sleep quality data associated with the user is obtained from the first trained machine learning model. A second input including the sleep quality data and user input data is provided to a second trained machine learning model. A second output associated with sleep therapy data is obtained from the second trained machine learning model. Subsequent to obtaining the second output, subsequent EEG sensor data and / or subsequent user input data is identified, and the first and / or second trained machine learning model is re-trained to generate updated sleep therapy data based on the subsequent EEG sensor data and / or subsequent user input data meeting a first threshold value.

The application belongs to the technical field of traditional Chinese medicine preparation, and particularly relates to an acupoint sticking medicine for preventing and treating long-term postoperative cognitive impairment of elderly patients and a use method thereof. The traditional Chinese medicine composition of the acupoint sticking medicine comprises Huangrenshen, Baishao, Danggui, Guijianyu, Shichangpu, Yuanzhi, Tianzhuhuang, Longchi, Fushen, Mosha, Huoxiang and Pelian. Under the guidance of the traditional Chinese medicine meridian theory, the physiological characteristics of the elderly patients are combined with the long-term postoperative rehabilitation demand, so that the effective components of traditional Chinese medicine are absorbed through the skin and jointly play a superimposed treatment role. The acupoint sticking medicine has a definite effect on preventing and treating long-term postoperative cognitive impairment of elderly patients, can significantly improve the long-term postoperative cognitive function score of the elderly patients, improve the long-term postoperative life quality and sleep quality, and is beneficial to the long-term postoperative rehabilitation of the elderly patients.

The invention relates to the technical field of enuresis nursing equipment, and discloses a night intelligent urine monitoring and nursing wearable system for enuresis children, which comprises a wearable diaper unit, a physical sign monitoring module, an intelligent interaction terminal, a data fusion analysis module and an intervention strategy generation module. According to the invention, through multi-modal data fusion of the distributed capacitive humidity sensor array and physiological sign monitoring, high-precision capture and urine volume estimation of the whole enuresis event process are realized; on this basis, sleep analysis and historical data are combined to generate a dynamic and personalized hierarchical intervention strategy, so that the accuracy and effectiveness of alarm are improved, false alarm and missing alarm are reduced, and meanwhile, comprehensive and associated data support including urine parameters and physiological states is provided for clinical diagnosis; the comprehensive effects of auxiliary treatment and improvement of child sleep quality and nursing efficiency are achieved.

According to various embodiments, a wearable electronic device may comprise: a communication module for communicating with an external electronic device; a sensor module; a processor including a processing circuit; and a memory for storing instructions. When the instructions are individually or collectively executed by the processor, the wearable electronic device can check, on the basis of sensing information measured using the sensor module, whether a user is sleeping, acquire, in response to the sleeping state, sleep-related information by using the sensor module, determine, on the basis of the acquired sleep-related information, whether a sleep posture photographing condition is satisfied, and transmit, in response to the sleep posture photographing condition being satisfied, a photographing signal to the external electronic device through the communication module. Other various embodiments are possible.

This invention discloses a sleep-aid composition that synergistically regulates sleep rhythm with 5-HTP and L-theanine, relating to the fields of biomedicine and health food technology. This invention effectively regulates sleep rhythm through the synergistic effect of 5-hydroxytryptophan, L-theanine, and γ-aminobutyric acid (GABA), helping users improve sleep quality. 5-HTP, as a precursor to serotonin, helps increase serotonin levels, which are then converted into melatonin, regulating the sleep cycle. L-theanine promotes the release of alpha brain waves, helping to relax the mind and body and reduce anxiety. GABA, as an inhibitory neurotransmitter, effectively relieves tension and promotes deep sleep. The synergistic effect of these three components provides users with more comprehensive and effective sleep support.

This invention discloses an IoT-based sleep monitoring device and management system for elderly healthcare, belonging to the field of sleep monitoring technology. The IoT-based sleep monitoring device for elderly healthcare includes a sleep monitor connected to a sleep monitoring belt via a data cable. The sleep monitoring belt is equipped with a sleep monitoring module, which monitors the user's sleep in real time, collects multi-source sleep data, and transmits the collected data to a cloud platform via an IoT communication module. This invention solves the problem that existing methods cannot achieve real-time monitoring and health risk warning management of the elderly, thus reducing the sleep quality and health level of the elderly population. This invention enables real-time monitoring and health risk warning management of the elderly's sleep, improving their sleep quality and health level.