150 results about "Transcranial Electrical Stimulations" patented technology

The patent application describes an adaptable neuromodulation device for transcranial electrical brain stimulation. The system can generate complex poly-modulated waveforms by combining multiple pulse parameters in a randomized manner across dimensions like amplitude, frequency, phase, timing, and polarity. It leverages both digital and analog modulation techniques for waveform versatility. The device features pathway optimization algorithms that tune stimulation using neural feedback data to target specific brain region shapes with greater precision. It also enables closed-loop operation for responsiveness to physiological changes. The application details the mathematical and computational foundations, spanning graph theory to generate digital twins. It highlights applications from cognitive enhancement to seizure control. Overall, the innovation promises versatility and precision in non-invasive neuromodulation through adaptable, optimized waveforms grounded in sophisticated modeling.

The invention belongs to the technical field of brain-computer interfaces, and particularly relates to a brain-computer interface driven emotion recognition and self-adaptive regulation and control system which comprises a multichannel nerve-peripheral coupling module, an emotion intensity probability mapping module and a closed-loop nerve regulation and control current module. The multi-channel nerve-peripheral coupling module is used for realizing overall quantification of central and peripheral emotional physiology; the emotion intensity probability mapping module is used for generating continuous emotion probabilities ranging from 0 to 1 through normalization and nonlinear mapping by utilizing emotion energy and combining eye movement fatigue and electroencephalogram entropy; and the closed-loop nerve regulation and control current module is used for dynamically adjusting the transcranial electrical stimulation intensity within the safety current upper limit according to the difference value between the emotion probability and the expected target. According to the invention, the recognition precision, the response speed and the use comfort are obviously improved.

The invention discloses a multi-target transcranial electrical stimulation device based on cross-regional phase-locked stimulation, and the device comprises a light electroencephalogram cap which is integrated with at least one pair of electroencephalogram signal collection electrodes located in a first brain region and used for monitoring specific neural oscillation, and is provided with electrode holes used for placing stimulation electrodes in a second brain region; a plurality of stimulating electrodes; a controller, a multi-channel stimulation module, an electroencephalogram signal processing and feedback regulation and control module and a communication module are arranged in the control box; the electroencephalogram signal module is configured to detect the phase of specific neural oscillation of a first brain region in real time; the controller is configured to accurately control the time or phase of stimulation (such as transcranial alternating current stimulation or pulse stimulation) output by the multi-channel stimulation module in the second brain region based on the detected real-time phase information, and cross-region phase-locked stimulation is achieved. The device is suitable for personalized nerve regulation and control application in a family environment while remarkably simplifying user operation, reducing cost and improving comfort and portability.

The invention relates to the technical field of biomedicine, in particular to a time interference dynamic multi-target accurate focusing transcranial electric therapeutic instrument which comprises a host module, an electric stimulation module, an intelligent stimulation mode optimization coordination module, an integrated electrode module, an electroencephalogram processing module, an adaptive treatment navigation module based on fMRI + EEG and a safety protection module. The navigation module calculates fMRI and EEG information, generates and optimizes a stimulation mode, the host module overall controls all the modules, the electrical stimulation module outputs multiple paths of high-frequency interference signals and low-frequency compensation signals, the integrated electrode module achieves stimulation and electroencephalogram collection in a time-sharing mode, the electroencephalogram processing module collects and processes the signals, and the safety protection module guarantees treatment safety. According to the application, the bottleneck that the current utilization rate is low, the positioning is fuzzy and the mode is rigid in the existing transcranial electrical stimulation technology is broken through, accurate synchronous / sequential stimulation of multiple deep brain regions is realized, and the accuracy, effectiveness and safety of treatment of neurological and mental diseases are improved.

The invention provides a method for generating a personalized nerve regulation and control stimulation scheme, and aims to generate a precise nerve regulation and control stimulation scheme for an individual through an electroencephalogram evaluation result. The method comprises the following steps: firstly, constructing a scheme library containing a plurality of transcranial electrical stimulation basic schemes; secondly, collecting resting-state electroencephalogram signals of a user, extracting electroencephalogram characteristic indexes related to emotion, cognition and sleep, and comparing the electroencephalogram characteristic indexes with a norm database to judge cognition risks; generating a primary stimulation scheme according to an evaluation result, and if a cognitive risk exists, further detecting that a feature index is abnormal and generating a targeted correction scheme; all the schemes are subjected to priority ranking, and the sequence is determined according to the abnormal severity degree and the clinical weight; and finally, outputting a personalized treatment scheme sequence of one week. According to the method, the accuracy and effectiveness of treatment are improved, high individuation, systematicness, practicability and dynamic optimization potential are achieved, and powerful support is provided for nerve regulation and control treatment.

The invention discloses a transcranial electrical stimulation control method and system for regulating mental fatigue, and belongs to the technical field of mental state regulation. The system comprises an EEG collecting and processing module and an electrical stimulation module which are in wireless communication to form a closed loop. The EEG collecting and processing module collects a forehead lobe three-lead EEG signal, after preprocessing (baseline drift and high-frequency interference are removed through FIR filtering, and eye movement artifacts are removed through combination of wavelet transform and Kalman filtering), the mental fatigue state is classified through an onboard lightweight convolutional neural network (CNN) algorithm, and a control command is generated; the electrical stimulation module receives the command, generates bipolar pulse width modulation transcranial direct current stimulation (tPWMDCs) current, and stimulates the prefrontal lobe. Local low-power-consumption reasoning of EEG signals is achieved, tPWMDCs avoid skin injury, a closed-loop system dynamically adapts to individual differences, portability, safety and accuracy are achieved, and the system is suitable for driving, office and other scenes.

The present invention describes an artificial intelligence (AI) enabled electroencephalography (EEG) system that integrates Pathway Hierarchical Adaptive Referencing (PHAR) for localized signal detection, large language models (LLMs) for automated EEG reporting, and Internet of Medical Things (IoMT) connectivity for adaptive neuromodulation control. The system can also deliver transcranial electrical stimulation (tES) pulses and function as an electrical impedance tomography (EIT) system. PHAR employs a multi-layered multiplexer hierarchy and adaptive referencing topologies to optimize EEG signal acquisition and spatial resolution. LLM integration enables automated generation of human-readable EEG reports. IoMT connectivity allows closed-loop neuromodulation, where real-time EEG analysis guides the adjustment of stimulation parameters. The system can deliver tES pulses and perform EIT expands its functionality, allowing for targeted neuromodulation and impedance-based brain imaging. This integrated system revolutionizes EEG-based diagnostics, treatment, and research in neurology and neuroscience, offering a comprehensive and versatile tool for understanding and modulating brain function.

The invention relates to the technical field of transcranial electrical stimulation, and discloses a human brain transcranial stimulation circuit and a human brain transcranial stimulation method, and the method comprises the steps: obtaining the brain state data of a to-be-stimulated user; according to the brain state data, analyzing a connection relationship between brain regions, and constructing a brain network map; based on the relationship between the node degree value and the medium centrality value of each node in the brain network atlas and the corresponding preset value, analyzing an abnormal region in the brain network atlas in combination with a preset anomaly detection model to obtain a brain target region; generating a stimulation strategy according to the brain target area; optimizing the stimulation strategy in combination with the brain state data to realize closed-loop control of the stimulation strategy; by combining the real-time state of the user, dynamically generating the stimulation signal, accurately positioning the brain target area and optimizing the stimulation strategy, the brain target area can be stimulated more effectively, the treatment process is more scientific and reasonable, and the treatment effect and efficiency are improved.

The invention relates to the technical field of brain-computer interfaces, and particularly discloses a fusion system combining a brain-computer interface with transcranial electrical stimulation and a feedback stimulation method. The fusion system comprises a main machine part, an auxiliary machine part, a PCB substrate, a terminal integrated receiver and a feedback calculation module. The host part comprises an electroencephalogram signal acquisition device and a transcranial electrical stimulation device which are both installed on a PCB substrate. The auxiliary machine part comprises an MCU and a first wireless device which are both installed on the PCB substrate. The auxiliary machine part further comprises a battery which is connected to the MCU, the electroencephalogram signal collecting device and the transcranial electrical stimulation device. The terminal integrated receiver has a second wireless device. And the terminal integrated receiver is connected to the feedback calculation module. According to the fusion system, the electroencephalogram signal acquisition device and the transcranial electrical stimulation device are combined to acquire brain waves and feed back and adjust transcranial electrical stimulation parameters, so that nervous excitability can be better induced, and an electroencephalogram value is enhanced.

The utility model belongs to the technical field of medical instruments, in particular to a wearable transcranial electrical stimulation device, which comprises a transverse hoop and a vertical hoop, the transverse hoop is fixedly connected with a mounting block, the vertical hoop is adjusted with the transverse hoop by sliding in the mounting block, one end of the transverse hoop and one end of the vertical hoop are respectively provided with a clamping groove, and the transverse hoop and the vertical hoop are connected with the mounting block. The transverse hoop and the vertical hoop adjust the sliding clamping rod through the clamping grooves, the transverse hoop connecting clamping rod is provided with a sliding way, the interior of the sliding way is connected with a transverse electrode plate in a sliding mode, meanwhile, the bottom of the transverse hoop connecting clamping rod is rotationally connected with a connecting piece, the connecting piece is rotationally connected with a support, and the support is rotationally connected with an auricle cover. The size of the transverse hoop and the vertical hoop of the device can be adjusted, the clamping rod can slide and rotate, the position of the electrode plate can be accurately adjusted, the device can adapt to the head circumference, the head shape and the brain structure difference of different users, it is ensured that the electrodes make good contact with the scalp, and accurate and effective electrical stimulation is achieved.

According to the electrical stimulation system and the transcranial electrical stimulation method, an upper computer module is connected with each electrical stimulation module through a central control module and is used for sending a data packet containing waveform parameters set by a user; and after receiving the data packet, the target electrical stimulation module firstly analyzes and verifies the data packet, covers the original built-in waveform parameter with the new waveform parameter after successful analysis and verification, and sends a confirmation signal to the upper computer through the central control module. The upper computer issues a stimulation instruction after receiving a signal and triggers the corresponding module to execute operation, the shedding detection unit judges whether the electrode is separated from the skin surface or not through impedance change, the feedback unit transmits the working state and shedding information of the electrode back to the upper computer through the MCU, closed-loop monitoring is formed, waveform parameters of each electrical stimulation module are independent, and the reliability of the electrical stimulation module is improved. And the electrical stimulation module is more flexible in cutting and expansion, and the electrode state is fed back in real time.

The invention provides a multi-frequency time-domain interference stimulation simulation optimization method and device. The method comprises the following steps: constructing a corresponding Gaussian function according to time-domain interference stimulation parameters for a target clinical user, and obtaining Fourier series of each channel of a transcranial electrical stimulator; generating a brain model based on the brain T1 weighted imaging data, and setting corresponding target spot position information to optimize the target spot electric field direction in any direction; determining an effective electrode arrangement area of each axial section of the craniocerebral model and arranging electrodes; and optimizing the electrodes arranged on each axial section so as to determine each grid of the craniocerebral model and the intensity amplitude of the time domain interference stimulation electric field, and optimizing the input current of each channel. According to the invention, multi-frequency stimulation simulation optimization for each channel of the transcranial electrical stimulator can be realized, the focusing performance of time domain interference stimulation can be improved, the calculation complexity of time domain interference stimulation parameter configuration can be reduced, and personalized time domain interference stimulation simulation can be effectively and quickly realized in combination with clinical data.

The invention relates to the technical field of nerve regulation and control, in particular to a depressive state adjusting system and method based on transcranial electrical stimulation, and the method comprises the steps: collecting electroencephalogram signals of left and right brain frontal lobe areas of even-level leads; the method comprises the following steps: performing noise filtering on collected electroencephalogram signals of a left brain and a right brain, extracting 8-13Hz power spectrum data of Alpha waves of the left brain and the right brain, calculating a numerical difference value of power spectrums of the Alpha waves of the left brain and the right brain and an average proportion of the difference value in a test time period, and taking the numerical difference value and the average proportion as quantitative indexes of the depression-associated lateral deviation level; the adaptive transcranial electrical stimulation module is matched through the acquisition module according to basic information such as the age and the medical history of a patient, initial parameters are set, the parameters are dynamically corrected through the control module in combination with real-time physiological signals, accurate personalized treatment is achieved, and treatment safety can be guaranteed.

The invention discloses wearable transcranial electrical stimulation equipment based on an electrode combination and a control method of the wearable transcranial electrical stimulation equipment. The wearable transcranial electrical stimulation equipment comprises an electrode assembly, a stimulation module and a controller. The electrode assembly comprises four electrodes, and the four electrodes form two groups of leads which are respectively used for supporting direct current stimulation and alternating current stimulation; the stimulation module is connected with the electrode assembly and is used for outputting an electrical stimulation signal; and the controller is in communication connection with the stimulation module and is used for outputting a stimulation scheme to the stimulation module and controlling the stimulation module. According to the transcranial electrical stimulation device, two groups of leads are formed by the four electrodes, the problems that a traditional transcranial electrical stimulation device is single in function and lacks precise regulation and control capacity are solved, and diversified requirements of users are met.

The invention relates to the technical field of sleep aiding, in particular to an intelligent slow wave sleep aiding system based on adaptive adjustment, which comprises a health monitoring bracelet, a multi-mode sleep aiding pillow, a sleep aiding illumination system and a transcranial electrical stimulation system, the problems that a traditional sleep-aiding product is difficult to accurately adapt to the sleep state of a human body, the adjusting effect is poor and the like are solved, physiological and body movement data are collected by means of the health monitoring bracelet and optimized, states such as waking, light sleep and deep sleep can be automatically and accurately recognized in combination with sleep state judgment rules, the states are fed back to the main control unit of the pillow through wireless transmission, and the sleep-aiding function is achieved. Self-adaptive control of music and sound effects, adjustment of ambient light, transcranial electric intensity and the like based on the sleep state of the human body are achieved, scientific and personalized support is provided for sleep improvement, sleep quality improvement is assisted, and the method can be used for reference application in the fields of intelligent sleep product research and development, sleep health management and the like.

The application belongs to the technical field of sleep monitoring. A closed-loop adaptive transcranial electrical stimulation sleep regulation system and device are provided. According to acquired electroencephalogram signal data, a slow wave activity index and a sleep stage are obtained. According to the slow wave activity index, a current amplitude of an anodal discharge signal is obtained. According to the sleep stage, a current frequency of the anodal discharge signal is obtained. According to an acquired real-time state of blood vessels, a current frequency variation rate of the anodal discharge signal and a current amplitude variation rate of the anodal discharge signal are dynamically adjusted to determine a dynamic discharge signal. Electrical stimulation is performed according to the dynamic discharge signal to perform sleep regulation. The application realizes precise control of transcranial electrical stimulation sleep regulation and has an outstanding sleep treatment effect.

To provide a method for treating, improving, alleviating, or preventing deterioration in visual function due to presbyopia. A method for treating, improving, alleviating, or preventing deterioration in visual function due to presbyopia, the method including (A-1) a step of applying repetitive transcranial magnetic stimulation (rTMS) to a brain of a subject who has developed presbyopia or (A-2) a step of applying transcranial electric stimulation.

The invention discloses a multifunctional transcranial therapeutic apparatus and a control method thereof. The transcranial therapeutic apparatus relates to the field of medical equipment and solves the problem of single function of a traditional transcranial therapeutic apparatus. The transcranial electrical stimulation module can transmit direct current stimulation or alternating current stimulation; the transcranial magnetic stimulation module can provide a pulsed magnetic field; the ultrasonic stimulation module generates ultrasonic waves through an ultrasonic transducer. The multiple stimulation heads are used for being distributed in different areas of the head, an electrical stimulation electrode slice of the transcranial electrical stimulation module, a magnetic stimulation coil of the transcranial magnetic stimulation module and an ultrasonic transducer of the ultrasonic stimulation module are integrated in each stimulation head, and signal generators of all the modules are controlled in a unified mode through the main controller. A single stimulation mode or combined work of multiple stimulation modes is selected according to the illness state and treatment requirements of a patient, the different stimulation combination modes synergistically act on a target brain area, the treatment effect is improved, and the problems that a traditional transcranial therapeutic apparatus only supports a single stimulation mode and is poor in treatment effect are solved.

The invention relates to the technical field of nerve regulation and control combined electroencephalogram, in particular to a transcranial electrical stimulation combined electroencephalogram data processing method and device and a storage medium. The method comprises the steps that patient medical image information is acquired, patient personality information is determined based on the patient medical image information, and the patient personality information is patient brain treatment reference parameters needing to be collected by a patient in transcranial electrical stimulation; acquiring an electroencephalogram signal of a patient, and determining electroencephalogram oscillation data based on the electroencephalogram signal of the patient; if the electroencephalogram oscillation data meets a preset value, determining a highly excited state of the patient based on the electroencephalogram oscillation data and the patient personality information; if the high-excitation state of the patient accords with a preset high-excitation state, determining a stimulation opportunity based on the high-excitation state of the patient; and generating a transcranial electrical stimulation instruction based on the stimulation opportunity. The transcranial electrical stimulation treatment effect can be improved.

This utility model discloses a transcranial electrical stimulation (TCS) device for children's language training, comprising a housing and a control component disposed within the housing. A stimulation electrode interface is disposed on the right side of the housing, fixedly connected to the housing and electrically connected to the control component. A mode selection button, electrically connected to the control component, is provided on the housing to switch between different TCS modes. The TCS device for children's language training provided in this application allows switching between different TCS modes via the mode selection button, enabling selection of different TCS modes to meet the safety and precise control requirements of children's language training.

The invention relates to the cross technical field of biomedical engineering, artificial intelligence and neural regulation, and provides a cognitive fatigue evaluation and electrical stimulation intervention system based on an electroencephalogram-behavior joint AI model, comprising: a data acquisition and preprocessing module for synchronously acquiring electroencephalogram signals and behavior data of a user and performing data preprocessing; the real-time fatigue evaluation module is used for performing feature extraction and fusion on the preprocessed electroencephalogram signals and behavior data through an AI joint model and outputting a real-time fatigue evaluation result of the user; the AI joint model is constructed based on a transduction information maximization (TIM) algorithm and is used for realizing cognitive fatigue evaluation in a few-sample scene; and the closed-loop electrical stimulation intervention module is used for dynamically adjusting transcranial electrical stimulation parameters and executing targeted intervention according to the real-time fatigue evaluation result. Through multi-modal data fusion and closed-loop intervention, real-time accurate detection and personalized targeted intervention of the cognitive fatigue state are realized.

This application relates to the field of biomedical technology, and in particular to a time-interference dynamic multi-target precision-focused transcranial electrical stimulation (TCS) therapy device, comprising: a main unit module, an electrical stimulation module, an intelligent stimulation mode optimization and coordination module, an integrated electrode module, an EEG processing module, an fMRI+EEG-based adaptive treatment navigation module, and a safety protection module. The navigation module calculates fMRI and EEG information to generate and optimize the stimulation mode; the main unit module coordinates and controls all modules; the electrical stimulation module outputs multiple high-frequency interference signals and low-frequency compensation signals; the integrated electrode module performs time-division multiplexing of stimulation and EEG acquisition; the EEG processing module acquires and processes signals; and the safety protection module ensures treatment safety. This application helps to overcome the bottlenecks of low current utilization, ambiguous positioning, and rigid modes in existing transcranial electrical stimulation technologies, achieving precise synchronous / sequential stimulation of multiple deep brain regions, and improving the accuracy, effectiveness, and safety of treatment for neuropsychiatric diseases.

The invention relates to a disposable transcranial electrical stimulation device based on an all-printing electronic technology and a preparation method thereof, and the device comprises a flexible printing zinc-manganese battery module which is used for providing a disposable and flexibly-attached low-voltage DC power supply for the device; the gradient resistance network module passively stabilizes and limits the output current to a safe and effective range through a precisely printed resistance pattern; the aluminum film electrochemical timer module is used for realizing automatic circuit break after a set time and forcibly stopping stimulation by utilizing the accurate corrosion rate of an aluminum film under current; and the current fusing protection module is used for fusing the printed wire in a specific geometrical shape through a Joule heating effect when the current exceptions exceed a safety threshold value, and providing rapid overcurrent protection. The wearable disposable tDCS device is ultralow in cost, sanitary, safe, simple in structure and convenient to use and has a passive safety protection function.

The invention relates to a transcranial electrical stimulation system and a storage medium, and the system comprises a neural signal sensing module which is configured to be used for collecting neural activity signals of the brain of a subject in real time; a transcranial alternating current stimulation module configured to apply transcranial alternating current stimulation to a target area of the brain of the subject; the real-time signal processing and control module is configured to be in communication connection with the neural signal sensing module and the transcranial alternating current stimulation module at the same time; the real-time signal processing and control module is configured to: receive a neural activity signal; extracting features of neural oscillation in a preset target frequency band from the neural activity signal in real time, wherein the features at least comprise an instantaneous phase; predicting a future phase of the neural oscillation based on the instantaneous phase, and generating a stimulation parameter in an anti-phase relationship with the future phase; and based on the stimulation parameters, controlling the transcranial alternating current stimulation module to apply adaptive transcranial alternating current stimulation to the target area of the brain of the patient.

Provided are methods for treating depression and depression-related conditions by combining administration of pharmacologic agents and neuromodulation induced by transcranial electrical stimulation.

The present invention relates to the technical field of brain electrode positioning programs. Specifically disclosed is an electrode positioning system based on personalized brain segmentation, comprising an image data processing unit, an electrode parameter acquisition unit, a target coordinate selection unit, an electrode target analysis unit, a brain region analysis processing unit, an electrode positioning analysis module and a display module. The present invention provides a set of complete system and software which are used for carrying out a whole process from tracing optimization to electric field visualization from data obtained when a personalized magnetic resonance image of a subject is segmented and supporting stimulation modes such as time interference stimulation, transcranial electric stimulation and high-precision transcranial electric stimulation, and also provides a personalized brain tissue and brain region segmentation mode in which personalized segmentation data is used in subsequent tracing optimization calculation, and the influence of personality difference during electrode positioning is emphasized.

A method for achieving super-resolution in localizing electrical fields measured at the head surface with electroencephalography through a generative model of the cerebral cortex that has a very high resolution of cortical surface dipoles constructed from the known properties of human cerebral cortex and adapted to optimize the Bayesian explanation the individual's cortical surface electrical fields. The iterative optimization of the prior (generative) with the posterior (observed) fields with extensive data from extended recordings provides a probabilistic estimation of the individual's functional brain activity that can be used to train artificial neural network approximations of the individual's mental activity.

The application discloses a transcranial electrical stimulation target parameter optimization method, system, device and computer readable storage medium, and belongs to the technical field of neural regulation and medical auxiliary equipment. The optimization method comprises the following steps: S1, acquiring a head medical image, and constructing a head finite element simulation model based on the medical image; S2, in the head finite element simulation model, defining a target stimulation brain area as a ventromedial prefrontal cortex area; S3, simulating transcranial electrical stimulation in the finite element simulation model, and through simulation calculation, taking the concentration of current density in the ventromedial prefrontal cortex area as an optimization target, and determining at least one transcranial electrical stimulation parameter; wherein the transcranial electrical stimulation parameter comprises an electrode position and / or an electrical stimulation waveform parameter. The optimization method changes the parameter selection from experience dependence to scientific calculation based on a biophysical model, improves the accuracy of the stimulation parameter, and thus realizes precise brain area targeted stimulation.

The present application relates to a kind of transcranial electrical stimulation system capable of being used in magnetic resonance environment synchronously.The present application includes electrical stimulation instrument, fluorescent thermometer and nuclear magnetic compatible kit, the electrical stimulation instrument is connected nuclear magnetic compatible kit by first coaxial cable, the nuclear magnetic compatible kit is connected stimulation electrode in nuclear magnetic resonance instrument by second coaxial cable and third coaxial cable, the fluorescent thermometer is connected stimulation electrode in the nuclear magnetic resonance instrument by optical fiber.The present application can be in the process of tDCS stimulation and after stimulation stops to the subject for magnetic resonance scanning, analysis stimulation to brain, functional magnetic resonance imaging (fMRI) technology has higher spatial resolution, can observe the influence of transcranial electrical stimulation to brain in the process and after electrical stimulation, can better study the mechanism of transcranial electrical stimulation;It has important influence to the basic mechanism research of tDCS, simple operation.