94 results about "Sleep management" patented technology

A server delay controller includes: a sleep management unit that makes a thread sleep when no packet arrives for a predetermined period and cancels the sleep of the thread with a hardware interrupt when the packet arrives; a HW interrupt frequency management table that stores the number of times of hardware interrupt; and a HW interrupt frequency control unit that calculates a HW interrupt frequency on the basis of the number of times of hardware interrupt and controls HW interrupt permission or prohibition by sleep of the sleep management unit on the basis of the calculated HW interrupt frequency.

The invention relates to the technical field of integrated sleep management, in particular to a sleep data analysis management system based on artificial intelligence. The method comprises the following steps: segmenting a sleep cycle of a user based on brain wave data to obtain N sleep stages of the user; based on the body movement monitoring data, the pulse monitoring data and the respiration monitoring data, calculating to obtain a first sleep quality characteristic value of the sleep stage of the user, and based on the sleep posture category and a sleep quality weight parameter corresponding to the sleep posture category, determining a second sleep quality characteristic value of the sleep stage of the user; the sleep quality analysis index of the sleep cycle of the user is generated based on the sleep quality parameters of the sleep stage of the user, the sleep early warning signal is generated based on the sleep quality analysis index of the sleep cycle of the user, multi-dimensional data such as brain waves, body movement, pulse, breathing and sleeping postures can be combined, the sleep stage can be accurately divided, and the sleep early warning effect is improved. And sleep quality parameters are calculated through multi-modal data fusion, so that the accuracy and practicability of sleep monitoring are improved.

The invention provides an ICU (Intensive Care Unit) delirium syndrome intelligent prevention and management system based on a bundling intervention strategy, and relates to the technical field of medical prevention and management. The system comprises a CNN module, an RNN module, a multi-modal physiological data acquisition module, a clustered intelligent intervention module, an intelligent medicine management module, an early movement and rehabilitation management module, an intelligent sleep management module, an emotion recognition and communication support module and a data module. And the occurrence of delirium is predicted in advance through time sequence analysis. By means of the prediction in advance, the response speed of medical staff can be increased, a key time window can be provided for subsequent intervention, multi-modal data fusion is combined with various physiological signals such as the heart rate, the blood pressure and the brain waves, inaccuracy caused by a single signal is avoided through multi-modal data fusion, and therefore prediction precision is improved.

The invention discloses a processing system and equipment for sleep disorder intervention and a storage medium, and relates to the technical field of information processing systems. The system comprises a user terminal and a sleep intervention analysis device, the user terminal is used for collecting treatment period data information of a sleep disorder patient in a CBTI treatment process; the sleep intervention analysis device is used for configuring CBTI treatment requirement information of a patient, then comparing the treatment period data information of the patient with the CBTI treatment requirement information corresponding to the patient, obtaining difference information between the treatment period data information and the CBTI treatment requirement information, and then obtaining treatment matter difference information of the patient. And generating a sleep management suggestion report including the treatment item gap information and displaying the sleep management suggestion report to the patient. According to the method, the sleep management suggestion report including the treatment item gap information can be generated, so that the patient can perform self-sleep management, and the difficulty of processing and completing the CBTI therapy treatment plan by the patient is reduced.

The invention discloses a sleep management method based on linkage of an intelligent ring and an intelligent pillow, and the method comprises the steps: collecting sleep parameters of a user through the intelligent ring when the user is in a sleep state, and judging whether an abnormal sleep condition occurs or not according to the sleep parameters; when it is judged that the abnormal sleep condition occurs, an intervention instruction is sent to the intelligent pillow; and the intelligent pillow receives an intervention instruction sent by the intelligent ring, and executes a corresponding intervention action according to the intervention instruction. The sleep parameters of the user are collected through the intelligent ring, whether the abnormal sleep condition occurs or not is judged according to the sleep parameters, then whether linkage with the intelligent pillow is needed or not is determined, and when it is determined that linkage with the intelligent pillow is needed, the intervention instruction is sent to the intelligent pillow; and the intelligent pillow performs intervention operation on sleep of the user according to the intervention instruction so as to slow down or even avoid an abnormal sleep condition of the user, so that the sleep quality of the user can be greatly improved.

The invention discloses a sleep management optimization system and method based on image recognition and environmental perception, and the system comprises an image recognition module which collects image data, and obtains first sleep state data from the image data through optimizing a bionic neural network; the environment sensing module is used for collecting sleep environment data, obtaining time dimension features and space dimension features from the sleep environment data through a space-time environment sleep quality correlation model, and adaptively adjusting weights through a small neural network to obtain second sleep state data; the sleep management module is used for generating a continuously optimized sleep management strategy through an improved reinforcement learning strategy based on the first sleep state data and the second sleep state data, personalized suggestions can be provided for the sleeper according to different sleep states and environment conditions, and diversified requirements of different users are met.

A server delay controller includes: a packet harvesting unit that refers to a packet held in a ring buffer when a packet arrives and executes harvesting to delete an entry of a corresponding queue from the ring buffer, a sleep management unit that puts the thread to sleep in a case in which a packet does not arrive for a predetermined period, and cancels the sleep of the thread through a hardware interrupt at the time of packet arrival, and an idle state recovery control unit that periodically wakes up the thread during sleep or wakes up the thread immediately before the packet arrival in accordance with a packet arrival timing.

The invention relates to the technical field of deep sleep management, in particular to a deep sleep staging management method and system based on electroencephalogram feedback. Comprising the steps that electroencephalogram feedback of a target user is collected, an actual deep sleep waveform is extracted and judged with an expected spectral domain of an ideal state transfer stage, and an unreached stage is locked; in an unreached stage, constructing a signal mode prediction model, and determining an optimal guide window stage by combining with intervention entry point migration analysis; performing wavelet basis decomposition to obtain an excellent wave band and a clutter band of the optimal guide window period; when the signal-to-noise ratio is high, crosstalk coupling analysis is executed, and white noise is generated by using the rhythm coding library for guide management; when the signal-to-noise ratio is low, light environment and temperature response regulation is planned, and deep sleep is managed in combination with a color coding chain and a signal excitation result. According to the method and the system, guide management of different decisions can be executed in the stage of entering the deep sleep of the target user, and the deep sleep quality, stability and continuity are improved.

The invention discloses a low-power-consumption newborn sleep management system, which relates to the technical field of newborn sleep management and comprises a multi-mode sensing module, a data processing and analyzing module, an environment regulation and control module and a power management module. The system collects environment and physiological data through a low-power-consumption sensor array, analyzes the sleep state in combination with layered feature extraction and dynamic threshold judgment technologies, and optimizes the sleep environment by using a closed-loop feedback mechanism. The power management module adopts an energy recovery and dynamic power supply strategy to reduce energy consumption. According to the application, comprehensive monitoring of the sleep state of the newborn and intelligent environment optimization are realized, the problems of high power consumption and poor real-time performance of an existing system are solved, and the requirements of low power consumption and high reliability are met.

The invention discloses a sound-based sleep management method and device, equipment and a medium. The method is applied to an intelligent sleep management system and can be applied to the fields of medical health or financial insurance and the like. The method comprises the following steps: collecting a sleep audio signal, and carrying out signal preprocessing on the sleep audio signal to obtain a target audio signal; performing time-frequency analysis and feature extraction on the target audio signal to obtain a sleep feature, wherein the sleep feature comprises a sleep stage; performing event detection on the sleep features through a preset neural network to obtain a sleep event; acquiring sleep quality scores of the sleep events and the sleep stages through a preset evaluation model, and constructing a sleep management scheme according to the sleep quality scores. By implementing the method provided by the invention, the problems that the sleep problem cannot be comprehensively considered, a sleep management scheme is difficult to generate and the sleep quality of a user is difficult to improve in the prior art can be solved, so that the chronic disease onset risk is reduced, the customer health level is improved, the insurance claim rate is indirectly reduced, and a win-win situation is realized.

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.

The invention provides a multi-mode sleep intervention system and method based on self-adaptive dynamic control. The system comprises a sensor module used for collecting brain wave activity signals in real time in a non-invasive mode; the AI module is used for performing sleep stage identification and stage division on the brain wave activity signal through a sleep stage prediction model, judging a current sleep state through a first AI strategy engine and automatically generating an optimal first intervention parameter sequence; the control module is used for issuing a corresponding control instruction to the multi-mode intervention module according to the optimal first intervention parameter sequence; and the multi-mode intervention module is used for executing one or more of sound, light, magnetism, temperature, touch and smelling multi-mode intervention according to the control instruction. Through multi-mode fusion perception, closed-loop monitoring control, dynamic adjustment of an intervention strategy and multi-mode interaction and intervention, the effects of accurately perceiving the sleep state in real time, improving the data anti-interference capability, self-adapting to sleep management, adapting to individual differences and meeting the requirements of different intervention scenes are achieved.

To enable comprehensive health management of diet management, exercise management, sleep management, hospital visit management, and amusement management, and to solve problems such as increase in health needs and weight gain due to lack of exercise.SOLUTION: Provided is a health management system, the system comprising: diet management means, exercise management means, sleep management means, hospital visit management means, and entertainment management means.SELECTED DRAWING: Figure 1

1. Name of the designed product: smart sports bracelet (Dora H). 2. Use of the designed product: as time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, temperature detection, music playing, and sports recording. 3. Design points of the designed product: the overall shape of the product. 4. Picture or photo that best represents the design points: perspective view.

Disclosed are systems and methods that provide a novel framework for personalized sleep management and control for a user. The framework can provide dynamically determined, customized sleep recommendations and / or optimized sleep configurations that enable users to engage in deeper, longer and more restful sleep, as specified to their specific needs. The framework provides a comprehensive sleep optimization system that delves deep into the factors that influence a user's sleep quality by measuring a range of sleep and lifestyle factors, and providing personalized insights and recommendations to aid and / or effectuate users achieving a restful and rejuvenating sleep.

The invention discloses an intelligent mattress sleep management system and method, and belongs to the technical field of intelligent mattresses, and the method comprises the following steps: presetting a starting pressure limit value, a deformation pressure limit value, a pressure quantity limit value, a temperature standard value and a sleep comparison table, and dividing the upper surface of a mattress into a plurality of detection areas; detecting the pressure value received by each detection area on the upper surface of the mattress; after sleep management is started, the temperature of the bearing area is detected; calculating breathing frequency according to the pressure change frequency of the bearing area, and evaluating the current sleep state according to the breathing frequency and a sleep comparison table; when the current sleep state is before sleep and when the user falls asleep, the deformation pressure limit value is increased; when the current sleep state is light sleep, the deformation pressure limit value is recovered; when the current sleep state is deep sleep, the deformation pressure limit value is reduced, the intelligent mattress can provide proper softness according to the specific condition of the user, and the health effect is guaranteed while the sleep of the user is facilitated.

A server delay control device (100) includes: a packet harvesting unit (120) that refers to a packet held in a ring buffer (72) when a packet arrives and executes harvesting to delete an entry of a corresponding queue from the ring buffer, a sleep management unit (130) that puts the thread to sleep in a case in which a packet does not arrive for a predetermined period, and cancels the sleep of the thread through a hardware interrupt at the time of packet arrival, and an idle state recovery control unit (150) that periodically wakes up the thread during sleep or wakes up the thread immediately before the packet arrival in accordance with a packet arrival timing.

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.

1. Name of the Design Product: Smart Sports Bracelet (Dora 4). 2. Use of the Design Product: For time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, body temperature detection, music playback, and sports record. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photo Most Indicating the Design Key Points: 3D view of Design 1. 5. Design 1 is designated as the basic design.

The invention provides a train low-power-consumption sleep management method and device and a storage medium. The method comprises the steps that a train sleep instruction sent by an automatic train supervision system is acquired, and default sleep configuration is loaded; the vehicle-mounted computer application layer performs rationality verification on default sleep configuration based on a power consumption algorithm; if verification fails, the configuration in the default sleep configuration is adjusted, and rationality verification is carried out again; if the rationality verification is successful, updating the default dormancy configuration table according to the adjusted configuration; generating a dormancy execution plan based on the updated default dormancy configuration table; and performing low-power sleep processing on the software and the hardware based on the sleep execution plan. When it is detected that the sleep duration exceeds the duration in the train sleep instruction or an awakening instruction is received, the software and hardware starting operation state is recovered according to the reverse process. According to the technical scheme in the embodiment of the invention, more sensors can be called during the dormancy period of the train to realize a mobile detection function, and the battery is more effectively used.

1. The name of the product of this design: Smart Sports Bracelet (C81). 2. The purpose of the product of this design: for time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, body temperature detection, music playback, exercise recording. 3. The design point of this product of this design: lies in the overall shape of the product. 4. The picture or photo that best illustrates the design point: stereogram.

1. Name of the Design Product: Smart Sports Bracelet (Dora 6). 2. Use of the Design Product: For time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, body temperature detection, music playback, and sports record. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photo that Best Illustrates the Design Key Points: Three-dimensional view.

The invention belongs to the technical field of medical health monitoring and behavior intervention, and discloses a pre-school autism sleep personalized intervention system based on AI behavior analysis, which comprises a behavior acquisition unit, an environment monitoring unit, a living habit management unit, a fusion analysis unit, an intervention execution unit, a self-adaptive optimization unit and a family interaction unit, according to the system, body movement, heart rate, skin electricity and sleeping posture information of children and environment parameters such as illumination, noise and temperature and humidity of a bedroom are synchronously collected, diet and exercise balance indexes are combined for fusion analysis, and behavior risk indexes are generated; a personalized intervention scheme is automatically generated according to the risk level, and intervention is implemented through light, sound and visual guidance modes. The system dynamically adjusts analysis parameters according to an intervention result, realizes closed-loop correlation analysis and continuous regulation and control of sleep behaviors, environment changes and parent feedback, and is suitable for individualized sleep management of children with autism.

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.

1. Name of the Design Product: Smart Sports Bracelet (Dora 1). 2. Use of the Design Product: For time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, body temperature detection, music playback, and sports record. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photo that Best Illustrates the Design Key Points: Perspective view of Design 1. 5. Design 1 is designated as the basic design.

The invention discloses a sleep management system based on a smart watch, and relates to the technical field of health management, the system comprises a multi-modal data fusion acquisition module, a dynamic sleep stage division model, a personalized sleep intervention engine and a closed loop feedback optimization module; the personalized sleep intervention engine generates and executes a personalized intervention scheme based on a sleep stage result and a user portrait output by the dynamic sleep stage division model; the multi-modal data fusion acquisition module adds oxyhemoglobin saturation (SpO2), skin conductivity (EDA) and environmental parameters (temperature, humidity and illumination), and compared with two-dimensional data in the prior art, 8-dimensional fusion data can capture subtle features of a sleep state (such as association between SpO2 sudden drop caused by night hypoxia and interruption of a deep sleep period and a sleep stress state reflected by skin electrical activity fluctuation); and a data foundation is laid for accurate identification.

1. The name of the design product: smart sports bracelet (sense7). 2. The use of the design product: as time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, temperature detection, music playing, exercise recording. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best shows the design points: perspective view.

The invention discloses a sleep management system and method, and the system comprises a bed body which is used for a user to sleep, an illumination instrument is disposed above the bed body, the illumination instrument is electrically connected with a controller, the controller controls the illumination instrument to emit light of various color temperatures and illuminance according to the set time, and the illumination instrument irradiates the face of the user; the intelligent watch is worn on a hand of a user, the intelligent watch collects body parameters of the user, and the intelligent watch exchanges data with the controller; the audio and video learning system is internally provided with learning audios and videos, a user can learn contents according to plans, and the technical problem that the user cannot insist in use in the prior art is solved.

Disclosed are systems and methods that provide a novel framework for personalized sleep management for a user. The framework can provide dynamically determined sleep data for a user, determined from data collected from the sensor(s) of device(s) in a location of a user, that is correlated with sleep data determined in a same or similar manner for other users (e.g., users who share a demographic with the user). The framework provides a comprehensive sleep optimization system that provides personalized insights and recommendations to aid and / or effectuate users achieving a restful and rejuvenating sleep.

1. Name of the Design Product: Smart Sports Bracelet (Dora 2). 2. Use of the Design Product: For time display, step counting, calorie consumption management, sleep management, event reminder, heart rate monitoring, body temperature detection, music playback, and sports record. 3. Design Key Points of the Design Product: Lies in the overall shape of the product. 4. Picture or Photo that Best Illustrates the Design Key Points: Perspective view of Design 1. 5. Design 1 is designated as the basic design.