4615results about "Sleep/relaxation inducing devices" patented technology

The present invention relates to a system and method for providing adaptive digital therapy, enhancing the emotional well-being of users through the analysis and translation of expressive and physiological states. Aspects of the invention are directed to identifying the neuroplastic window via user inputs, with or without the aid of psychedelics. This invention is particularly suited for supporting psychoactive therapies involving compounds such as 5-HT2A agonists, dissociatives, and empathogens, as well as applications beyond psychoactive treatments. By utilizing multi-modal deep learning methods, the system captures a wide array of user inputs, including text, speech, vision, symbols, and brain waves, to form a dynamic user representation. This representation is then used to provide real-time, tailored generative communications informed by established psychological therapeutic frameworks. The invention features a closed-loop feedback system through an access module, enabling continuous data relay, patient response metric derivation, and transmission of emotional optimization communications. The system also introduces novel communication methods, including symbolic language input, to articulate complex experiences and extends its capabilities to include natural emotional states, broadening its therapeutic applicability.

Provided are systems, devices, and methods for energy delivery to a patient to treat a medical condition. A system for delivering energy to a patient includes: a treatment device having one or more energy delivery elements. The treatment device can deliver energy, such as ultrasound energy, to a target location of the patient via the one or more energy delivery elements. The energy delivery to the target location treats a medical condition of the patient.

The invention discloses a comprehensive regulation and control method and system based on multi-mode electromagnetic and ultrasonic stimulation, and the method comprises the steps: collecting brain wave signals in real time through a multi-electrode EEG system, synchronously collecting skin electroreaction and heart rate variability signals, preprocessing the collected signals, and carrying out the feature extraction; the extracted signal features are subjected to multi-modal feature fusion through a CNN, and the multi-modal features are subjected to time sequence dependency analysis through a long-short-term memory network to generate a real-time emotional state quantization vector and identify a current emotional state category. Through synchronous acquisition and feature fusion of multi-electrode EEG, EDA and HRV signals, a real-time brain function connection network is constructed, accurate recognition and stimulation strategy making are performed on emotion regulation and control nodes based on graph theory analysis, the accuracy and reliability of emotion recognition are improved, personalized regulation and control of individual emotion states are realized, and the emotion regulation and control efficiency is improved. The cognitive function and language expression ability of an individual can be improved, and movement coordination disorder caused by emotional fluctuation is reduced.

The invention discloses a self-adaptive music intervention system based on multi-modal physiological feedback, and belongs to the technical field of monitoring and intervention of emotional states, the self-adaptive music intervention system comprises a multi-modal emotional state evaluation module and a self-adaptive music intervention module, the multi-modal emotional state evaluation module acquires multi-modal physiological information of a user, and the self-adaptive music intervention module performs music intervention on the multi-modal emotional state evaluation module; feature extraction and fusion are carried out on the multi-modal data, and the emotional state is evaluated according to the fused data; and the adaptive music intervention module generates music features matched with the current emotion according to the evaluated emotion state, the music features and preference data of the user, and selects music according to the music features to intervene the user. By the adoption of the method, the wearable forehead lobe three-lead electroencephalogram equipment and the intelligent bracelet are combined, physiological signals of the central nervous system and the autonomic nervous system are collected and analyzed in real time, music intervention is automatically adjusted, a personalized emotion adjusting scheme free of side effects is provided, and a closed-loop mental state regulation and control mechanism is formed.

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.

Disclosed is a system for providing a sleep healthcare service using brainwave entrainment and autonomous nervous system control, and the system including: a user terminal configured to set a bedtime and a wake-up time, at the bedtime, output a sleep-inducing breathing method for enhancing the parasympathetic nervous system, while emitting light of non-melatonin-suppressing wavelengths, and at the wake-up time, insert and output an Alpha-Band or Beta-Band flicker for brainwave synchronization of alpha or beta waves, and output blue light to induce arousal; and a sleep healthcare server.

The invention discloses a multi-modal emotion analysis method and system, and the method comprises the steps: carrying out the heart rate variability analysis of a collected vital sign signal, so as to extract a time domain feature, a frequency domain feature and a nonlinear feature corresponding to a heart rate variability signal obtained after the analysis, fusing the time domain feature, the frequency domain feature and the nonlinear feature to generate a heart rate variability feature corresponding to the vital sign signal; calculating a power spectrum and a power spectrum entropy corresponding to the collected electroencephalogram signals, and extracting electroencephalogram characteristics corresponding to the electroencephalogram signals according to the power spectrum and the power spectrum entropy; extracting skin electric characteristics corresponding to the collected skin electric signals; respectively inputting the heart rate variability feature, the electroencephalogram feature and the galvanic skin feature into a pre-trained emotion recognition model, and outputting a plurality of emotion analysis results; and acquiring an emotion regulation scheme matched with each emotion analysis result to output a corresponding emotion regulation strategy, thereby improving the accuracy of the emotion analysis and regulation strategy.

The invention discloses an emotional pressure relieving and monitoring method combined with a virtual reality technology, and the method comprises the following steps: S1, providing a virtual environment for a user through a virtual reality device, and enabling the user to interact with the environment through wearing a virtual reality head-mounted device and using a controller; s2, collecting physiological data of the user in real time through a biosensor, wherein the physiological data comprises heart rate, brain wave, electrodermal response and oxyhemoglobin saturation; s3, inputting the physiological data in the S2 into a long-short-term memory network model for processing, and predicting emotional changes; s4, adjusting the virtual reality environment in real time to adapt to the current emotional state of the user based on the emotional state analysis and prediction result of the long-short-term memory network model; and S5, repeating the steps S2 to S4 to monitor the emotion of the user. According to the method, solid technical support is provided for emotion pressure management and monitoring based on the virtual reality technology, and a traditional static emotion regulation method can be effectively replaced.

The invention discloses a self-adaptive music synthesis sleep aiding method and system based on physiological feedback. The method comprises the following steps: acquiring physiological data of a user; preprocessing the physiological data; evaluating the sleep state of the user based on the preprocessed physiological data; defining a music parameter space according to the sleep state; optimizing music parameters based on the sleep state and the music parameter space; generating and playing music according to the optimized music parameters; while music is played, physiological reactions of the user are continuously monitored, music parameters are adjusted in real time based on the physiological reactions, and feedback circulation is formed; analyzing a long-term sleep pattern of the user based on the data obtained in the feedback loop; according to the long-term sleep mode, updating a music parameter space and an optimization strategy; security monitoring is executed, and intervention is carried out when an abnormal condition is detected; according to the invention, a plurality of key indexes such as sleep time, deep sleep proportion, sleep quality and the like are obviously improved.

A stuffed, interactive children's toy for assisting individuals in self-calming and / or self-regulating exercises. The toy may include one or more weights, a microphone, a motor, one or more light emitting diodes (LEDs), and / or one or more speakers. The toy optionally further includes one or more buttons corresponding with one or more emotional states. For example, a red button, a yellow button, and / or a green button. Upon pressing the button, the toy may deliver either a random and / or a preprogrammed intervention. The toy may be used in combination with a children's book. In another example, the toy may be in communication with a mobile application (app) via a Bluetooth connection. In yet another example, the toy may be in communication with a website and / or a remote-control device. The app may be used to record emotional data, physical date, and / or to assign preprogrammed stimuli to the one or more buttons.

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 provides a biological health system, a physiological state regulation and control method, wearable equipment and a storage medium, and the biological health system comprises a detection assembly which is configured to collect a biological signal of a user in real time; a processing component configured to calculate a physiological state regulation parameter based on the phase of the biological signal, and generate a stimulation signal based on the physiological state regulation parameter; and the output component is configured to output the stimulation signal, so that the coupling effect of the biological signal and the stimulation signal regulates and controls the physiological state of the user. The biological signal of the user is acquired in real time, and the personalized physiological state regulation and control parameter of the user is calculated based on the phase of the biological signal to generate the stimulation signal in real time, so that the physiological state of the user is regulated and controlled through the coupling effect of the stimulation signal and the biological signal.

The invention belongs to the technical field of intelligent control equipment, and particularly relates to an intelligent room system for optimizing sleep and a working method thereof. The system comprises a data acquisition and monitoring module used for acquiring various physiological data and environmental parameters when a user moves; the machine learning prediction and evaluation module is used for analyzing, predicting and evaluating the collected data through a DNN technology; the environment control module is used for automatically adjusting environment parameters according to the current demand and the sleep stage of the user; the sleep feedback and adjustment module is used for matching the environment information with user perception and controlling the output of the terminal equipment; the central control and suggestion module is used for providing a sleep environment configuration suggestion for the user; and the data transmission module is used for performing wireless data transmission and communication with other modules. The intelligent sleep monitoring system has the advantages that the sleep condition of the user can be comprehensively monitored and analyzed, personalized sleep environments and suggestions are provided, and therefore the sleep quality and life quality of middle-aged and elderly people are improved.

Embodiments are directed to in-bed haptic systems including a pneumatic pad configured for placement between a user and a bed. The pneumatic pad can include an array of actuation cells, where each actuation cell in the array of actuation cells is configured to actuate in response to fluid being introduced into the actuation cell. The system can include an input device that includes a touch sensitive display and is configured to display a set of haptic sequences that can be applied to the array of actuation cells in a user interface of the input device and receive an input at the touch sensitive display of a selected haptic sequence. The system can include a control system that receives an indication of the selected haptic sequence and actuates actuation cells of the array of actuation cells using the selected haptic sequence and the pressure measurements.

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.

The invention relates to the field of hot compress devices, in particular to an essential oil hot compress device for acupuncture assistance, which comprises a hot compress strap and a control device, the hot compress strap comprises an elastic base layer, a plurality of hot compress areas are arranged on the elastic base layer, electric heating belts are arranged in the hot compress areas in a penetrating manner, and the electric heating belts are laid in the plurality of hot compress areas; a plurality of mounting grooves are formed in the hot compress area, liquid separation rows are mounted in the mounting grooves, a plurality of oil applying cloth belts are detachably mounted on the liquid separation rows, the oil applying cloth belts are in hollow strip shapes, a plurality of mounting holes are formed in the liquid separation rows, and one-way spray pipes matched with the mounting holes are mounted on the oil applying cloth belts; a breathable skin-friendly layer is connected between the multiple oil applying cloth belts, and an elastic filling layer wrapping the oil applying cloth belts is arranged between the breathable skin-friendly layer and the elastic base layer. Acupuncture therapy and aromatherapy are combined, essential oil hot compress is carried out on specified acupuncture points corresponding to acupuncture therapy, and essential oil is controllably added in the hot compress process.

Described herein are wearable sensory stimulation and monitoring devices that can be worn around the back of the neck along and in contact with the spine. Apparatuses described herein stimulate one or more senses including auditory, tactile or olfactory. Apparatuses are also described that allow for sensing and monitoring of physiologic parameters such as heart rate, blood pressure and movement. The device also has features that allow for easy attachment or integration to articles worn on the head such as augmented reality and virtual reality accessories to provide visual stimulation and entertainment.

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 discloses an anxiety disorder diagnosis and treatment assisting and relieving system of a massage chair. The anxiety disorder diagnosis and treatment assisting and relieving system comprises a multi-mode biological signal collection function, an emotion detection and analysis function, an intelligent massage function and a feedback function. The anxiety state of the user can be comprehensively monitored by fusing multi-modal physiological signals such as body temperature, heart rate, skin conductivity and respiratory rate, and multi-dimensional real-time evaluation of the anxiety state of the user is realized by combining facial expression and voice emotion recognition. According to the anxiety degree, the intelligent massage system of the chair can automatically adjust the massage strength and mode to help the user to effectively relieve physical and mental pressure. Meanwhile, a built-in system can record physiological data and emotion changes of the user to form a health record, and change and improvement of anxiety disorder can be tracked conveniently for a long time.

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.

Methods and devices for changing a brain state of a person from an initial brain state to a target brain state are described. The method comprises the following steps: receiving information representing the initial brain state, wherein the information comprises the structural composition and the functional architecture of the brain; estimating a likelihood of the brain changing from the initial brain state to the target brain state based at least in part on the received information; determining a non-invasive brain stimulation scheme based at least in part on the received information and the estimated likelihood of the brain changing from the initial brain state to the target brain state; and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation scheme. The method also includes using the brain information to provide information for a design to compute a generic artificial intelligence agent.

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.

An intelligent entrainment program can make use of received biometric sensor data to provide hyper-personalized guidance to entrain a user's respiration pattern towards a target respiration pattern. The entrainment program can be used for sleep-related therapy, such as to facilitate falling asleep, staying asleep, and / or waking up. Respiration information (e.g., respiration rate, time between breaths, maximal inspiration information, maximal expiration information, respiration rate variability, respiration morphology information, and the like) can be extracted from the biometric sensor data and used to establish a target respiration pattern. An entrainment signal can be determined from the target respiration pattern and then used to present an entrainment stimulus (e.g., via audio, visual, tactile, or other stimuli) to the user.

The invention relates to the technical field of sleep cabins, in particular to intelligent control equipment of novel pressure reducing and sleep promoting equipment, which comprises a chair body, a side plate, an intelligent control module and an electromagnet body, a plurality of optocoupler sensors are fixed on the surface of the side plate, and a plurality of pressure sensors are arranged on the surface of the chair body. A plurality of detection probes are further arranged in the chair body, the box bodies are arranged in the chair body, and the number of the box bodies is two groups; a second motor is started to drive a long rod and a first gear to rotate, the first gear walks along the surface of a tooth rail, a box is driven to ascend and descend, the vertical position of an electromagnet body is controlled and adjusted, and the effect of controlling and adjusting the position of the electromagnet body is achieved; under the cooperation of the push-pull rod, the movable seat and the electromagnet body are driven to move, the magnetic field range is enlarged or reduced, and therefore switching between wide-area massage and precise massage is achieved.

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.