3002results about "Sleep/relaxation inducing devices" patented technology

The invention belongs to the technical field of biological calculation, and discloses an intelligent music regulation and control system and method based on electroencephalogram signal multi-modal feature recognition, electroencephalogram data are obtained through anti-interference collection and adaptive filtering processing, multi-modal feature vectors are constructed based on physiological feature extraction and information fusion, and the multi-modal feature vectors are extracted and subjected to multi-modal feature recognition. And accurate recognition of the emotional state and cognitive load evaluation are realized. A music-emotion mapping network is constructed through music feature analysis and emotion semantic matching, a personalized music regulation and control strategy is formulated, music parameter dynamic adjustment and audio stream reconstruction are realized, and a music output stream is generated. A closed-loop optimization feedback mechanism is formed by adopting electroencephalogram feedback collection and adjustment effect evaluation, user data security grading and privacy protection processing are implemented, a security specification database is constructed, the effect of a music output stream is continuously evaluated, and a comprehensive evaluation report is generated. Immediate emotion regulation is provided for the user, a healthier emotion management mode is established for the user through long-term data accumulation, and psychological toughness is improved.

The present disclosure describes systems, devices, and methods of benefiting a cognitive state or function of a brain of a subject. The systems can include a portable system comprising a single headset device to be worn by a subject, comprising a pair of glasses configured to provide a visual stimulus to the subject, and a pair of supra-aural headphones configured to provide an auditory stimulus to the subject.

The invention relates to the technical field of natural language processing and image processing, and discloses an emotional music adjusting method and terminal based on dynamic perception and multi-modal fusion. The method comprises the following steps: acquiring multi-dimensional feature data of a user, processing an unstructured text through a dynamic sensing field based on a large language model, and carrying out dynamic weight distribution on the multi-dimensional feature data to generate fusion features; collecting facial image data of a user, extracting facial emotion features through a visual converter model, and mapping the facial emotion features to a music feature space; the features of the two modes of text and image, namely fusion features and facial emotion features, are input into a music generation module, and personalized treatment music is generated through feature fusion coding, music structure planning and a layered decoding architecture. And music generation parameters are adjusted through a dynamic feedback mechanism to form closed-loop control. According to the method and the computer terminal, full-process intelligent processing from user feature capturing to emotional music generating is achieved, and the treatment effect and the user experience are improved.

The invention discloses a sleep state real-time monitoring method and system, and belongs to the technical field of sleep monitoring, and the method specifically comprises the steps: collecting a heart rate variability signal, an electroencephalogram signal and body movement data of a user in real time through a non-invasive sleep pad integrating a piezoelectric sensor, a flexible dry electrode and a pressure sensor; based on the physiological data, whether the user reaches an autonomous sleep state or not is judged through a first algorithm model; if not, starting an active intervention program for playing the adjustable music, and dynamically adjusting the music volume, the playing speed or the track in combination with the physiological data feedback until the user enters an autonomous sleep state; after the user falls asleep, physiological data are continuously collected, and a sober period, a light sleep period, a deep sleep period and a rapid eye movement period are divided through a second algorithm model; if the staging result is a waking period, the autonomous sleep state judgment is executed again; according to the invention, non-intrusive monitoring and personalized intervention are combined, and the monitoring comfort and accuracy are improved.

The invention provides a transcranial stimulation control method, a transcranial stimulation control system and a computer readable storage medium, and the method comprises the steps: collecting an electroencephalogram parameter signal, and converting the electroencephalogram parameter signal into an electroencephalogram feature vector; inputting the electroencephalogram feature vector into a large language model, obtaining an initial electrical stimulation signal corresponding to the electroencephalogram feature vector from a stimulation electroencephalogram knowledge model according to the electroencephalogram feature vector, and generating an initial electrical stimulation signal scheme; the initial electrical stimulation signal is optimized through an attention mechanism according to historical response data of a user, a final electrical stimulation signal scheme is output, and the historical response data of the user comprises a historical electrical stimulation signal scheme and user feedback information; and outputting the final electrical stimulation signal scheme to a transcranial stimulation module. The method can improve the insomnia treatment efficiency of the user.

A wireless implantable neuromuscular stimulator includes an antenna for producing an induced current in response to being disposed in an electromagnetic field. The antenna includes a substrate having an upper surface and a lower surface. An upper coil including a plurality of coil turns is disposed on the upper surface of the substrate. A lower coil including a plurality of coil turns is disposed on the lower surface of the substrate. The upper and lower coils are electrically connected to each other in parallel. The parallel connection can be facilitated by a plurality of connectors that extend through the substrate and electrically connect the upper coil to the lower coil. In one example configuration, connectors connect each coil turn of the upper coil to a corresponding turn of the lower coil.

The invention relates to an intelligent sleep adjusting method and system based on closed-loop acousto-optic brain wave entrainment, electroencephalogram (EEG) signals are collected and preprocessed in real time through a wireless dry electrode, and high-precision sleep staging is achieved through a deep learning model. The system adopts a fuzzy PID (Proportion Integration Differentiation) controller to dynamically adjust acousto-optic synergistic stimulation: an acoustic module generates binaural beat signals, an optical module outputs blue light (470nm) and amber light (590nm) pulses, and the brain wave entrainment efficiency is enhanced through phase synchronization (the phase difference is less than or equal to 10 degrees) and golden section frequency coupling (fL is equal to 1.618 fA). Parameters are updated every 30 seconds through closed-loop feedback, the sound pressure level (30-50 dB) and the light intensity (10-100 lux) are adjusted according to the Weber-Fechner law, and the response delay is lt; the time is 200 ms. A three-level safety mechanism monitors gamma wave abnormity, epilepsy sample discharge and impedance overrun in real time, and triggers graded protection (alarming, cutting off light stimulation and shutdown). Clinical verifications show that the entrainment success rates of the delta wave and the theta wave respectively reach 71% and 68%, the sleep improvement effect is good, and a safe and efficient intervention scheme is provided for sleep disorders.

The invention provides a sleep-aiding medicine pillow dynamic regulation and control method and system based on physiological parameter analysis. According to the method, pressure data and sleep bio-electricity signals of a contact area of a user are collected in real time, a characteristic frequency band proportion and a heart rate fluctuation parameter are analyzed, and a correlation model is established; calculating a bioelectricity signal energy integral value of the characteristic frequency band based on the model, and quantizing to generate a bioelectricity intensity index; the heat conduction efficiency is changed by adjusting the molecular density of the temperature-sensitive material, and a contact layer heat transfer dynamic instruction is generated; pressure feedback and instruction waveform characteristics are combined, the micropore on-off duty cycle is adjusted, and the opening duration of unit time is controlled; the drug release rate is synchronously adjusted, so that the response waveform and the heat conduction instruction are dynamically balanced, and closed-loop regulation is formed. According to the application, through multi-parameter dynamic analysis and feedback adjustment, accurate cooperative control of heat conduction and medicine release of the medicine pillow is realized, and the matching degree of sleep-aiding substance release and sleep rhythm is optimized.

The invention relates to the field of psychological health, and provides a personalized mind-correcting and pressure-reducing system and method based on multi-modal physiological signals. The system comprises a multi-mode physiological signal acquisition module, an emotion recognition module, a mind content generation module and a virtual / augmented reality presentation module. The acquisition module is used for acquiring and preprocessing various physiological signals by using an advanced sensor; the emotion recognition module establishes a signal and emotion mapping relation according to a deep learning algorithm and classifies the signal and emotion mapping relation; the content generation module generates content according to the emotion and preference of the user by means of a big language model and a retrieval enhancement technology; and the presentation module is used for providing immersive experience by combining Unity 3D with VR / AR (Virtual Reality / Augmented Reality) equipment. The system has the advantages of being capable of accurately monitoring emotions in real time, intelligently matching contents, providing immersion experience and forming closed-loop feedback, having expansibility, achieving the emotion recognition accuracy rate of 95%, and being capable of effectively improving mental health and life quality.

The invention discloses an intelligent intervention system for children with autism spectrum disorder based on multi-modal neural feedback, which comprises a multi-modal physiological signal acquisition module for acquiring electroencephalogram signals of a target child in real time and generating an original physiological signal set; the multi-modal fusion analysis module receives the original physiological signal set and generates a comprehensive evaluation signal representing the current neurocognitive state and the emotion awakening level of the child; the self-adaptive decision control module receives the comprehensive evaluation signal and generates a self-adaptive control signal containing a neural feedback parameter adjustment instruction and a game interaction strategy instruction; the neural feedback intervention module receives the neural feedback parameter adjustment instruction and generates an adaptive neural feedback stimulation signal to act on the child; and the intelligent interactive game module receives a game interactive strategy instruction and dynamically adjusts game scene contents. The intelligent intervention system for children with autism spectrum disorder based on multi-modal neural feedback can solve the problems of poor individual adaptation of autism intervention, multi-modal data splitting and lack of dynamic adjustment.

The invention provides an intelligent pillow and a control method thereof, and belongs to the technical field of intelligent home furnishing.The intelligent pillow comprises a pillow body, the pillow body is provided with a snore stopping air bag, a pressure sensor array, a microphone line array and a control box, the snore stopping air bag is connected with an air pump through an air pipe, and the control box is in signal connection with the air pump; the pressure sensor array is in signal connection with the control box, and the pressure sensor array is used for collecting head pressure signals of a user and transmitting the head pressure signals to the control box; the microphone line array is in signal connection with the control box, and the microphone line array is used for collecting sound signals of a user and transmitting the sound signals to the control box so as to judge the snoring state of the user; the snore stopping air bag corresponding to the head position of the user is adjusted to change the external form of the pillow body, so that the head position of the user is changed. The snore problem of the user can be effectively relieved, and the sleep quality of the user is improved.

The invention relates to the field of psychotherapy, and discloses a pain psychotherapy simulation system based on a virtual reality technology, which is used for solving the problem that when a female patient experiences a physiological cycle, a patient biofeedback signal collected by the system can be interfered, and comprises the following steps: combining a head-mounted display, a handle and other control equipment; the method comprises the steps that a patient enters an immersive virtual world through equipment, physiological data of the patient are obtained, the physiological data comprise heart rate data, skin conductivity and brain wave data, an initial disease pain index is calculated according to the physiological data of the patient, a regulatory factor is calculated according to physiological period information, and the initial disease pain index is calculated according to the regulatory factor; the actual disease pain index is calculated according to the initial disease pain index and the regulatory factor, and psychological intervention is performed according to the actual disease pain index, so that the accuracy of evaluating the state of the treated part of the patient by the system is effectively improved, and the use experience of the patient is improved.

A system for automatically adjusting the lighting parameters of a space is disclosed herein. The control module sets the target lighting parameters in the space and drive the smart lamp groups to illuminate by using the preset light recipe and to control the smart lamp groups to perform the illumination. The control module compares an ambient light detection value in the actual environment with the target value. When the ambient light detection value is not the same as the target value, the control module drives the ambient light sensor module performs a dimming procedure to the smart lamp groups. Wherein, the dimming procedure includes the step of adjusting an illuminance uniformity of the space according to the actual illuminance detected by the ambient light sensor module. After the calculation of the illuminance uniformity formula, the illuminance uniformity is adjusted to be the same as a target illuminance uniformity.

A sensing unit is configured to generate pressure readings from a phenomena within a sleep environment and to generate temperature readings from a sensed temperature. A processing unit is configured to select a thermoregulation adjustment and to alter a thermal property of a sleep environment based on the selected thermoregulation adjustment.

The invention relates to the technical field of wisdom medical treatment, in particular to a cooperative intervention system and method based on multi-modal emotion perception and five-tone therapy, and realizes precision of emotion recognition and individuation of intervention strategies through cooperative intervention of multi-modal emotion perception and traditional Chinese medicine five-tone therapy. Physiological and behavior signals of a user in different states are comprehensively captured, emotion recognition is carried out in combination with a deep learning model, the accuracy and real-time performance of emotion recognition are remarkably improved, the system can intelligently match music tracks most suitable for the current emotion state based on the five-internal-organ-five-sound theory of traditional Chinese medicine and modern music psychology, and the user experience is improved. And an intervention strategy is continuously optimized through reinforcement learning, so that more targeted and effective emotion regulation is realized, and the method is particularly suitable for long-term management and intervention of negative emotions such as anxiety and depression.

The invention discloses an intelligent accompanying method and an emotion monitoring device, which are applied to an emotion monitoring intelligent bed, and the method comprises the steps: obtaining emotion data of a user, the emotion data comprising voice features, expression features and posture change features; judging different emotion data to obtain different emotional states, and obtaining a target emotional state of the user according to the different emotional states and preset weight information of the different emotional states; when the target emotional state is an abnormal state, sending out a first feedback signal; and according to the first feedback signal, guiding the user to perform voice interaction through a semantic analysis model, and outputting an audio reply corresponding to the user voice information. According to the method, the emotion state of the user can be detected and fed back in real time, the emotion of the user is adjusted in a voice dialogue communication mode, and the nursing quality of the user is improved.

Methods and apparatuses are described for modulating multiple integrated neural networks to alter composite sensory processes, such as audition or hearing. These methods and apparatuses may be used for therapeutic and non-therapeutic uses, including enhancing entertainment and communication, by providing a cranio-cervical tuning apparatus worn in or around the outer ear or auricle. These methods and apparatuses may include functional neurosensory bias for neurosensory scrambling neuromodulation to influence composite or multi-modal sensory processes.

This document describes systems, methods, devices, and other techniques used for improving a sleeper's body thermoregulation during sleep. One aspect is a system, comprising a bed with a heating element and a cooling element and a controller configured to receive a current sleep state of a sleep stage sequence for a user in the bed, when the current sleep state is a non-rapid eye movement (NREM) state, activating the heating element to increase a skin temperature of the user, and when the current sleep state is a rapid eye movement (REM) state, activating the cooling element to decrease the skin temperature of the user.

The invention relates to the technical field of artificial intelligence, and discloses a brain-like multi-mode emotion recognition network, a brain-like multi-mode emotion recognition method and an emotion robot, and the brain-like multi-mode emotion recognition method comprises the steps: converting multi-mode emotion information into a pulse sequence; on the basis of the obtained pulse sequence, constructing a continuous pedigree emotion representation space, and realizing continuous representation of an emotional state; a continuous pedigree emotion representation space is utilized to generate pulse codes of mixed emotions, and a complex emotional state is represented; according to the pulse codes of the mixed emotions, establishing an emotional state conversion probability model, and describing a conversion relation between the emotions; based on an emotional state transition probability model, realizing prediction and processing of an emotional gradual change process, and capturing subtle emotional changes; according to the method, the working principle of human brain neurons can be used for reference, fine representation and accurate prediction of the human emotional state are achieved, and meanwhile high calculation efficiency and biological interpretability are achieved.

The invention discloses a high-altitude falling simulation system based on VR equipment, and relates to the technical field of virtual reality simulation, and the system comprises a data collection module which collects the pupil distance and initial sight line data of a user; the visual disturbance module is used for dynamically adjusting local visual disturbance of a corresponding area in the high-altitude virtual scene based on the gaze data to form a visual disturbance effect; the psychological index calculation module is used for calculating an anxiety index and a focus drift speed by adopting a time sequence convolutional neural network according to the visual disturbance effect and the eye movement behavior of the user to obtain an anxiety index and a focus drift speed index; and the disturbance adjustment module adaptively adjusts the frequency and amplitude of the visual disturbance effect by adopting a method of combining fuzzy logic control and adaptive gain adjustment to obtain disturbance rhythm parameters. According to the method, the personalized matching ability and training effectiveness in psychological behavior intervention and virtual high-altitude adaptation training are improved.

The invention provides a distributed edge computing architecture of an emotion cockpit and an intelligent cockpit, and the distributed edge computing architecture comprises a local edge node layer, a regional coordination node layer and a central control unit layer which are connected through low-delay communication interfaces, and cooperatively achieve the collection, fusion, judgment and strategy response of multi-modal emotion data. Wherein the local edge node layer comprises a plurality of intelligent terminals deployed near passengers in a vehicle, and each terminal comprises a modal sensing module and a feature extraction module; the area coordination node layer comprises a plurality of area processing units, and each unit comprises an area fusion module; the central control unit layer comprises an emotion map module, an emotion decision module and a strategy response module. By adopting an edge-region-center three-level collaborative architecture, the method has low delay, high robustness and privacy protection capability, can realize emotion-driven in-vehicle environment intelligent linkage control, and improves driving safety and user experience.

The invention discloses a sleep closed-loop management method, which is applied to a head-mounted sleep closed-loop management device, and comprises the following steps: performing real-time sleep monitoring according to an electroencephalogram signal, an electro-oculogram signal, a heart rate and blood oxygen saturation; when the sleep monitoring result meets a preset condition, an intervention component is controlled to perform sleep intervention; the sleep monitoring comprises statistics of sleep stages and duration of the current sleep stage, and the sleep monitoring result comprises the current sleep stage and the duration of the current sleep stage. The invention further discloses a head-mounted sleep closed-loop management system and electronic equipment. According to the invention, sleep staging and current sleep stage duration statistics are carried out through a deep learning algorithm based on multi-mode signals, real-time and accurate sleep state monitoring is realized, effective dynamic intervention can be carried out on sleep based on a sleep monitoring result, and closed-loop management from sleep monitoring to sleep intervention is formed.

The invention provides a multi-sensory sub-health sleep conditioning cabin, and belongs to the technical field of physiotherapy equipment. According to the technical scheme, a semi-closed cabin serves as a main body structure, and an equipment system comprising an intelligent control system, a phototherapy system, a sound therapy system, an odor therapy system, a physical massage system, an intelligent safety monitoring system and other modules is constructed. According to the invention, the limitation of a single therapy is overcome, multi-factor collaborative therapy and personalized therapy are realized, and meanwhile, the safety and comfort are enhanced. The system has a remarkable sleep conditioning curative effect, improves the treatment safety, pays attention to data privacy protection, and improves the system stability and compatibility. By applying the system, sleep disorders can be comprehensively improved in a comfortable state, and due to integrated application of multi-sensory stimulation therapy and an intelligent control system, a comprehensive and personalized treatment scheme can be realized, and the system has outstanding technical advantages and a good popularization prospect.

Methods and apparatus for changing a brain state of a person from an initial brain state to a target brain state are described. The method includes receiving information characterizing the initial brain state, the information including a structural composition and a functional architecture of the brain, estimating based, at least in part, on the received information, a potential for the brain to change from the initial brain state to the target brain state, determining based, at least in part, on the received information and the estimated potential for the brain to change from the initial brain state to the target brain state, a non-invasive brain stimulation protocol, and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation protocol. The method also includes using brain information to inform the design of computational general artificial intelligence agents.

The invention discloses a polymorphic sleep data fusion self-attention sleep system and method. The system comprises a data acquisition module which is responsible for acquiring environmental data and physiological data of a user; the signal preprocessing module is used for performing segmentation, normalization and de-noising processing on the collected EEG and EOG signals; the frequency division multiplexing module is used for decomposing the preprocessed signal frame into a plurality of narrowband signals by using a frequency division multiplexing technology; the feature extraction module is used for extracting features from the decomposed narrowband signals; the model training module is used for training a model by utilizing the feature set; the sleep staging module is used for performing real-time or offline sleep staging through the trained model; the sleep quality evaluation module is used for calculating a sleep quality index based on a sleep staging result; the correlation analysis module is used for performing correlation analysis on the relationship between different sleep stages and the sleep quality indexes to generate a quality evaluation model; and the early warning system module is used for setting an early warning threshold value according to the sleep quality evaluation result and the quality evaluation model.

The invention discloses a personalized sleep intervention and first aid method and system based on multi-modal data fusion. The method comprises the steps that physiological index data and motion data of a user are collected in real time through wearable equipment; generating a sleep quality score based on the physiological index data in combination with a preset sleep quality evaluation model; generating a personalized sleep intervention scheme according to the sleep quality score and the motion data; the sleep intervention module is started by manually triggering or automatically detecting the insomnia state of the user; according to the physiological index data monitored in the sleeping process, the indexes exceeding the standard are recorded, and a prompt is given out after waking up the next day, or a first-aid mode is triggered. The personalized dynamic sleep intervention scheme is generated by quantifying the physiological indexes of the user, and the limitation of a single sensor is broken through; sleep intervention can be triggered in multiple modes, the intervention intensity can be dynamically adjusted according to the real-time physiological state, the first-aid mode can be automatically started, and first-aid delay is avoided.

A massage device includes a controller for controlling the massage device; a body massage unit including a massage module for massaging at least a part of the user's body under the control of the controller; and a leg massage unit for massaging the user's legs under the control of the controller. The leg massage unit includes a first leg massage unit for massaging one of the user's legs, and a second leg massage unit for massaging the user's other leg, with the first leg massage unit and the second leg massage unit able to operate independently.

The invention provides an astronaut working load relieving implementation method based on a virtual reality technology in a microgravity environment, and belongs to the field of microgravity environment psychological recovery. The problems that an existing working load relieving system is difficult to provide higher immersion and interactivity for astronauts in a microgravity environment, and is poor in individuation and intervention effect are solved. According to the method, physiological state data and psychological state data of astronauts are collected, task execution data are integrated, workloads are quantified, workload types are identified after comprehensive evaluation, preliminary matching is carried out according to defined matching conditions, a virtual scene is selected through machine learning and multi-dimensional data analysis, and a virtual scene is obtained. And performing continuous fine adjustment in the loaded and presented optimized virtual scene, and recording the process. According to the method, an effective pressure relieving means can be flexibly and accurately provided according to the real-time state of the astronaut and the requirements of the working environment, and the cognitive reconstruction and psychological recovery process is enhanced through the immersion of the virtual reality technology.

The invention belongs to the technical field of nerve regulation and control engineering, and provides a cerebrospinal fluid rhythm-based Alzheimer's disease electrical stimulation system, which is characterized in that first frequency band range data and second frequency band range data in brain wave signals are coupled to obtain cerebrospinal fluid rhythm data; then, calculating the phase difference between the first frequency band range data and the cerebrospinal fluid rhythm data; finally, the stimulation frequency is dynamically controlled according to the phase difference, and the stimulation current is dynamically controlled according to the brain tissue water volume fraction. The problem that specific metabolism requirements of non-fast eye movement sleep and fast eye movement sleep cycles cannot be matched by adopting single-frequency-band stimulation is solved, dynamic changes of post-traumatic encephaledema and requirements and influences of cerebrospinal fluid rhythm on current control are considered, the real-time adaptive capacity to the dynamic changes of the post-traumatic encephaledema is improved, and the application prospect is wide. And the treatment effect of the Alzheimer's disease is ensured.