34 results about "Sleep management" patented technology

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 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 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 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.

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.

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.

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.

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.

1. The name of the design product: smart sports bracelet (sense5). 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.

Sleep management ring includes one or more physiological sensors configured to detect one or more physiological indicators of a user. An output device includes one or more context sensors. One or more processors executing instructions, on a memory to: receive one or more indicators of a bedtime from the context sensors; receive the physiological indicators; recommend a sleep preparation exercise for a user to perform; determine a change in the one or more physiological parameters and / or the one or more indicators of the bedtime after recording the sleep preparation exercise; and adjust the sleep preparation exercise based on one of the effectiveness of the sleep preparation exercise and the one or more physiological indicators as measured by the one or more physiological sensors of the wearable device.

1. Name of the designed product: smart sports bracelet (Dora i). 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 shows the design points: perspective view.

The application discloses a sleep management optimization system and method based on image recognition and environment perception, comprising an image recognition module: collecting image data, obtaining first sleep state data from the image data through an optimized bionic neural network; an environment perception module: 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 obtaining second sleep state data through a small neural network adaptive weight adjustment; a sleep management module: generating a continuously optimized sleep management strategy based on the first sleep state data and the second sleep state data through an improved reinforcement learning strategy, which can provide personalized suggestions for sleepers according to different sleep states and environment conditions, and meet diversified needs of different users.

The invention relates to the technical field of research and development of original drugs, and discloses a sleep-aiding traditional Chinese medicine stir-fried and scorched incense and a preparation method of the sleep-aiding traditional Chinese medicine stir-fried and scorched incense. 15 to 30 parts of brown malt; 5 to 15 parts of fructus momordicae; 3-8 parts of an adhesive; and 40 to 150 parts of purified water. Long-term insomnia obviously affects health, the risk of cardiovascular diseases is easily increased, and many problems such as metabolic disorder, cognitive impairment and immunity decline are caused, benzodiazepine drugs are commonly used for sedation and hypnosis, and tolerance and dependency are easily generated after long-term use of the benzodiazepine drugs. According to the invention, the scorched fragrance emitted by the traditional Chinese medicine fried to be scorched is developed into the sleep-aiding incense, the scorched fragrance of the traditional Chinese medicine fried to be scorched is creatively prepared, collected and applied by adopting a low-temperature drying and incense nourishing method, and meanwhile, the health management APP is matched to strengthen the self sleep management consciousness of a patient through the functions of incense reminding, symptom recording, voice guidance and the like, so that the sleep-aiding effect of the patient is improved. Identification and mechanism research of scorch aroma substances are carried out, and clinical random control tests and animal model experiments are combined.

1. The name of the design product: sleep management instrument. 2. The use of the design product: for sleep management instrument. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: front view.

1. The name of the design product: smart sports bracelet machine head (Dora S). 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: the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view.

The application discloses a sleep management method and system, relates to the field of sleep management, acquires various human signals to determine the current sleep state of a human body, then constructs a state category and learns a corresponding intervention strategy according to the sleep state of the human body, generates a preset corresponding relationship, and if the current sleep state has a corresponding state category, the corresponding intervention strategy can be directly intervened; if the current sleep state does not have a corresponding state category, a new state category and a corresponding preset corresponding relationship are continuously constructed. The accuracy of monitoring and evaluation is improved by acquiring various fusion signals, the evaluation and intervention strategy are directly triggered, real-time and smooth intervention adjustment can be carried out according to the continuous and dynamic physiological state of a user, the state category is generated by real-time clustering of the sleep state in the application process, thereby constructing a personalized state category for the user, meeting the individual difference demand, and improving the user experience.

The invention discloses a wearable core temperature monitoring device, system and method applied to sleep, and relates to the field of sleep physiological parameter monitoring. The device comprises a temperature measuring sensor, an external auditory canal fixing device, a communication device, a control box, a power supply, a switch and a shell module. The sensor adopts a non-contact infrared thermopile sensor and is positioned at a position 15-25 mm away from an external auditory canal to collect the temperature of the tympanic membrane, and the precision reaches 0.01 DEG C; the fixing module is made of moldable silica gel, is matched with the ear canal and prevents blocking. The system comprises a data interaction layer, a processing layer and an application layer, and the processing layer realizes sleep stage classification and anomaly recognition through a CNN + BiLSTM + Attention model. The method comprises the steps that the wearable device collects data after self-inspection, the data is processed, displayed and early warned through the terminal, and suggestions are generated through data backup. The device is non-invasive and non-inductive to wear, can continuously and accurately monitor, and assists sleep management and health early warning.

This disclosure provides a method, electronic device, and program product for improving sleep quality, relating to the field of sleep management. The sleep quality improvement method includes: collecting multimodal data at various times from the start of sleep to the first moment, and forming multimodal time-series data; fusing the multimodal time-series data to obtain fused feature time-series data; determining the sleep state at the first moment; generating a final intervention action through a strategy optimization model based on the sleep state at the first moment, the multimodal data at the first moment, a user profile, and the device state at the first moment, where the user profile represents the user's sleep-related characteristics; controlling the device corresponding to the final intervention action to execute the final intervention action; repeating the above steps until the sleep process ends; determining the sleep improvement rate based on the multimodal data and sleep state at various times during the sleep process; and optimizing the strategy optimization model based on the sleep improvement rate.

This application provides a low-voltage sleep management and low-voltage load control system and related equipment. The system includes: a central control interaction unit, a network management unit, and a wake-up permission control unit. The central control interaction unit is connected to the wake-up permission control unit and the network management unit, and is used to generate corresponding low-power control instructions based on multiple modes selected by the user. These low-power control instructions are used to control the wake-up permission control unit. The network management unit is connected to multiple execution units and is used to forward the low-power control instructions from the central control interaction unit to the multiple execution units. The wake-up permission control unit includes a vehicle controller, a wake-up source configuration module, and a permission judgment module. This invention, by configuring the wake-up permissions of vehicle components, enables different vehicle components to enter sleep mode or operate in different scenarios, thereby reducing vehicle sleep power consumption while also meeting user operation needs.

The invention relates to a method for determining by prediction, using automated machine learning, time ranges (T2) during which a radio interface (R1) of a wireless access point (11) of a communication network (1) can be switched off or put into standby mode, for energy saving purposes.

1. The name of the design product: smart sports bracelet machine head (Dora M). 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: the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of sleep management, and discloses a sleep-aiding music playing method and system based on multi-sensor fusion, and the method comprises the steps: collecting a sleep sound signal of a user, and determining a sound feature coefficient according to the sleep sound signal; collecting a sleep acceleration signal of a user, and determining an acceleration characteristic coefficient according to the sleep acceleration signal; and collecting sleep eye movement data of the user, and determining sleep features of the user according to the sleep eye movement data, the sound feature coefficient and the acceleration feature coefficient. Multi-dimensional feature extraction is performed on the sleep signal of the user, so that more accurate sleep features of the user are extracted to realize accurate recommendation of sleep-aiding music.

The invention discloses a sleep staging regulation and awakening system and method based on a multi-mode medicine package, and belongs to the technical field of intelligent health monitoring and sleep management.The system comprises an intelligent eyeshade, a detachable medicine package and terminal equipment, and the method comprises the steps that bio-electricity signals are collected, and sleep staging is recognized through a multi-mode signal fusion and hierarchical classification strategy; identifying the type of the medicine bag; the heating temperature and the drug release strength are regulated and controlled only according to sleep stages; based on three factors of sleep stage, drug concentration and time, evaluating wake-up suitability and triggering wake-up; according to the sleep quality report generation method, the accuracy of sleep stage identification is remarkably improved through sleep stage specific feature selection and hierarchical decision; a modular medicine package design and a unified regulation and control rule are adopted, and the system architecture is simplified; in combination with three-factor wake-up evaluation, sleep inertia is reduced, and co-disease management of sleep disorder and xerophthalmia is realized.

This invention relates to a sleep-aiding method and system based on heart rate variability biofeedback, belonging to the field of sleep health management technology. It solves the problem that existing sleep-aiding technologies, which rely on visual biofeedback and lack mechanisms for recognizing sleep trends and automatically exiting sleep patterns, are prone to overstimulation. The method includes: acquiring vital signs signals at multiple time steps and a sleep-aiding rhythm signal at the current time step; the vital signs signals include PPG sensor signals and IMU sensor signals; determining the signal quality index for each time step based on the PPG sensor signals from multiple time steps; calculating the body movement intensity at each time step based on the IMU sensor signals from multiple time steps; and adjusting the sleep-aiding rhythm signal based on the signal quality index and body movement intensity at the current time step or multiple time steps. This invention achieves full-process sleep management with light-free biofeedback, automatic sleep trend recognition, and nighttime awakening re-intervention, improving the effectiveness of sleep-aiding guidance.