61 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 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 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.

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.

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.

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. 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.

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.

1. The name of this design product: Smart Sports Bracelet (Dora 9). 2. The use of this 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. The key design points of this design product: lie in the overall shape of the product. 4. The picture or photo that best shows the key design points: the three-dimensional view.

1. The name of this design product: Smart Sports Bracelet (Dora 8). 2. The use of this 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. The design key points of this design product: lie in the overall shape of the product. 4. The picture or photo that best shows the design key points: the three-dimensional view.

This invention provides a cognitive management method and system for insomnia with intelligent suggestions for bedtime. The method includes: collecting and preprocessing multi-dimensional user data to obtain standardized input data; training a sleep analysis model based on historical datasets and continuously optimizing the model using user feedback data; using the sleep analysis model to perform inference based on real-time user data for the day, dynamically generating and outputting a personalized sleep plan including suggested bedtimes; obtaining actual sleep details and calculating sleep quality indicators; conducting continuous risk monitoring based on sleep quality indicators and triggering tiered intervention suggestions; and feeding the sleep quality indicators and user feedback data as training data into the model optimization step to achieve closed-loop optimization. This invention solves the problems of rigid suggestions, lack of personalization, and insufficient continuous optimization capabilities in existing technologies, achieving precise, dynamic, and intelligent sleep management.

1. The name of the design product: sleep management graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for managing sleep time, which can set wake-up time, nap time and alarm time. 6. The change state description of the graphical user interface: the front view is the wake-up time management interface, clicking "nap" in the front view jumps to change state figure 1, change state figure 1 is the nap time management interface, clicking "alarm" in change state figure 1 jumps to change state figure 2, and change state figure 2 is the alarm time management interface.

A multi-dimensional equation sleep management system is characterized by comprising a fresh air base, an equation supporting unit arranged in a groove of the fresh air base, a comfortable layer arranged on the equation supporting unit, a healthy sleep monitoring layer arranged on the comfortable layer in a stacking mode, and a sleep monitoring module arranged on the healthy sleep monitoring layer. The upper multifunctional protective layer is sleeved on the whole formed by stacking the comfortable layer and the healthy sleep monitoring layer, and the lower multifunctional protective layer is sleeved at the bottom of the fresh air base. Therefore, a completely interchangeable, replaceable and adjustable multi-dimensional equation sleep management system is formed.

The present application relates to the technical field of deep sleep management, and particularly relates to a deep sleep staging management method and system based on electroencephalogram feedback. The method comprises the following steps: collecting electroencephalogram feedback of a target user, extracting an actual deep sleep waveform and determining an expected spectrum domain of an ideal state transition stage, and locking an unachieved stage; when the unachieved stage is achieved, constructing a signal mode prediction model, combining an intervention entry point migration analysis to determine an optimal guide window period; obtaining an excellent wave band and a clutter band of the optimal guide window period through wavelet basis decomposition; when the signal-to-noise ratio is high, performing crosstalk coupling analysis and generating white noise by using a rhythm coding library to perform guide management; when the signal-to-noise ratio is low, planning a light environment and a temperature response control, and combining a color coding chain and a signal excitation result to manage deep sleep. The present application can realize guide management of different decisions for the target user to enter the staging stage of deep sleep, and improve the quality, stability and persistence of deep sleep.

The system according to this embodiment aims to provide comprehensive support for elderly people living alone. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a meal management unit, a medication management unit, a health condition management unit, a sleep management unit, a schedule management unit, and a conversation unit. The data collection unit collects lifestyle data of the elderly. The analysis unit analyzes the data collected by the data collection unit and provides appropriate support. The meal management unit manages meals based on the data analyzed by the analysis unit. The medication management unit manages medication based on the data analyzed by the analysis unit. The health condition management unit manages health based on the data analyzed by the analysis unit. The sleep management unit manages sleep based on the data analyzed by the analysis unit. The schedule management unit manages schedules based on the data analyzed by the analysis unit. The conversation unit engages in conversation to alleviate loneliness and engages in intellectual conversation based on the data analyzed by the analysis unit.

The challenge is to reduce power consumption by suppressing excessive hardware interrupts through the sleep function of the polling thread, while also minimizing latency within the server and enabling packet forwarding. [Solution] The server-internal delay control device 100 includes a packet harvesting unit 120 that, when a packet has arrived, refers to the packet held in the ring buffer 72 and performs harvesting by deleting the corresponding queue entry from the ring buffer; a sleep management unit 130 that puts a thread to sleep and wakes the thread from sleep by a hardware interrupt when a packet arrives; and a management unit 160 that, when the timing of data arrival can be predicted, performs pre-wake control to wake the thread immediately before the arrival of the data in accordance with the timing of the data arrival.

1. Name of the Design Product: Smart Sports Bracelet (Dora 7). 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.

A system and method for managing sleep mode in a real time operating system is disclosed. The system utilizes certain ARM processors which incorporate a SLEEP ON EXIT feature. This feature allows the processing unit to enter sleep mode once the lowest priority exception handler has terminated operation. Additionally, the system utilizes thread mode, or user mode, without the use of an idle task. The functions typically performed by the idle task are now incorporated into various interrupt service routines and the PendSV exception handler. Further, the system supports two or more different sleep modes.