60 results about "Cranial Electrical Stimulation" patented technology

The invention discloses a transcranial electrical stimulation intracranial vector electric field detection device and method, and belongs to the transcranial electrical stimulation intracranial electric field detection technology, the device inputs an individual head model in a stimulation system, sets a target spot and calculates transcranial electrical stimulation parameters; the implantation position and angle of the vector detection electrode are planned through the navigation system, electrical stimulation is applied to a brain target area through the stimulation electrode, and intracranial electric signals are collected in real time through the vector detection electrode; performing high-precision amplification on the acquired weak signal, and converting the weak signal into a digital signal; the collected electric field signals are calculated and processed in real time, and electric field distribution generated by transcranial electrical stimulation in the brain is analyzed and visualized; according to the method, time domain and frequency domain analysis is carried out on electric signals before and after stimulation, the influence of stimulation on neural signals in a detection area is evaluated, and high-precision measurement of the intensity and direction of a three-dimensional electric field is achieved through the design of a high-precision and multi-layer vector detection electrode.

The invention discloses a real-time evaluation method for a transcranial electrical stimulation effect, and relates to the technical field of brain electrical stimulation effects, and the real-time evaluation method comprises the following steps: fusing MRI modeling, HD-tDCS electrode optimization, electric field simulation and genetic algorithm parameter configuration, combining multi-modal nerve response collection, multi-task brain state prediction based on an attention mechanism, and Granger causal path modeling. And a real-time evaluation mechanism oriented to a full chain of'stimulation-nerve-behavior 'is constructed. Compared with an existing evaluation mode which only depends on electroencephalogram change or a single behavior index, the method has the advantages that the space targeting, the nerve activation specificity, the behavior improvement degree and the causal connection strength of stimulation can be quantified at the same time, and parameter self-feedback optimization is driven through comprehensive scores; and the instantaneity, the accuracy and the individualized regulation and control capability of transcranial electrical stimulation effect evaluation are remarkably improved.

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 transcranial electrical stimulation control method and system for enhancing working memory, and the method comprises the steps: collecting and preprocessing a multi-channel endogenous electroencephalogram signal of a target object during the execution of a cognitive task, and obtaining a to-be-analyzed electroencephalogram signal; aligning the to-be-analyzed electroencephalogram signal with a behavior expression label generated by the target object during execution of the cognitive task to obtain an associated signal; according to the correlation signal, obtaining a channel pair with the highest phase synchronism between the forehead lobe and the apical lobe of the target object as a target channel pair; based on the associated signal data of the target channel pair, extracting frequency band features to generate stimulation parameters of radial and cranial electrical stimulation; and outputting transcranial electrical stimulation according to the stimulation parameters, and collecting endogenous electroencephalogram signals during stimulation in real time, so that the stimulation parameters are dynamically adjusted, and closed-loop regulation and control on the brain area of the target object are realized. Therefore, by the adoption of the method and device, accurate control over the endogenous phase difference between the prefrontal lobe and the apical lobe can be achieved, and therefore the work memory performance is enhanced.

The invention discloses a non-invasive electrical stimulation regulation and control system and a method thereof. The regulation and control system comprises an electroencephalogram acquisition module, an individualized parameter extraction module and a regulation and control module, wherein the individualized parameter extraction module is composed of a frequency extraction unit and a site determination unit; the electroencephalogram acquisition module is used for acquiring and recording resting-state electroencephalogram signals of an anxiety disorder patient; the individualized parameter extraction module is used for extracting an individual alpha frequency and an individualized stimulation site of a patient; wherein the frequency extraction unit selects a frequency at a peak value of a power spectrum as an individual alpha frequency through spectrum analysis; the site determination unit selects a site with the weakest function connection as a personalized stimulation site by calculating the PLV value of the frontal apex lobe network; the regulation and control module is used for outputting a personalized stimulation scheme and implementing non-invasive transcranial electrical stimulation, and more personalized and accurate regulation and control on anxiety disorder patients are achieved by considering the difference between individuals.

The invention relates to the technical field of transcranial electrical stimulation, in particular to a high-precision physiological parameter monitoring method for a transcranial electrical stimulation process. By acquiring comprehensive data of historical patients, including time sequence data of medical history, transcranial electrical stimulation parameters and physiological parameters, the group characteristics of the patients can be accurately identified. And clustering the historical samples according to the difference of the historical electrical stimulation parameters by using a clustering technology to ensure the consistency of the electrical stimulation parameters in the cluster. And further analyzing fluctuation similarity and medical history similarity of physiological parameter time sequence data in the cluster, determining confidence of the electrical stimulation parameter, and reflecting consistency of the physiological parameter to electrical stimulation response. According to the confidence coefficient and the current medical history data of the to-be-treated patient, classifying the to-be-treated patient into target clusters of similar illness states. Finally, the electrical stimulation parameters of the patient to be treated are set based on the historical data of the target cluster, the integrating degree of the parameters and the illness state is improved, and therefore the credibility of monitoring the physiological parameters in real time is improved.

The invention discloses a transcranial electrical stimulation physiotherapy system based on EEG-fNIRS feedback. The transcranial electrical stimulation physiotherapy system comprises an EEG-fNIRS signal acquisition and processing module, a relaxation degree evaluation module, a transcranial electrical stimulation control module and a transcranial electrical stimulation execution module. The transcranial electrical stimulation physiotherapy system provided by the invention can accurately extract spatial and temporal characteristics related to relaxation degree, constructs a personalized brain function network model, accurately locates stimulation sites and neural activity modes based on the characteristic that EEG and fNIRS data complement each other in terms of advantages in terms of time resolution and spatial resolution, and improves the rehabilitation effect of the brain function network model on the basis of the characteristic that the advantages of the EEG and fNIRS data complement each other in terms of time resolution and spatial resolution. The method realizes personalized dynamic adjustment of the relaxation degree, and is suitable for multiple fields of education, medical treatment, rehabilitation and the like.

The invention discloses a closed-loop transcranial electrical stimulation method, a closed-loop transcranial electrical stimulation device, closed-loop transcranial electrical stimulation equipment and a storage medium. The closed-loop transcranial electrical stimulation method comprises the steps of electroencephalogram signal acquisition, autoregression model construction and prediction, phase extraction, phase difference calculation and adjustment, AM signal generation and TIS stimulation signal generation. According to the method, future electroencephalogram signals can be predicted by using the autoregression model, the phase extraction technology is combined, the electrical stimulation signals are ensured to be synchronous with the specific phase of the target electroencephalogram activity, nerve regulation is performed on the generated stimulation signals in a TIS mode, overlapping of stimulation signal interference frequency bands and electroencephalogram signal frequency spectrums is effectively avoided, and the accuracy of the electroencephalogram activity is improved. Therefore, the space-time precision and the individualized regulation capability of nerve regulation are greatly improved. In addition, the TIS signal can noninvasively adjust the deep brain area, and a better brain area stimulation effect is achieved. The invention relates to a nerve regulation technology.

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 invention discloses an integrated multi-mode transcranial electrical stimulation and high-intensity deep brain stimulation device, and belongs to the field of neuromedical treatment, in the device, a main control module is used for receiving data sent by a serial port display screen communication module and processing and analyzing the data, and then a signal source module is driven to output a target signal; the signal source module selectively outputs a transcranial alternating current stimulation waveform, a time intervention electrical stimulation waveform, a high-current phase modulation time intervention electrical stimulation waveform, a transcranial pulse electrical stimulation waveform and a transcranial direct current stimulation waveform based on a plurality of waveform generators and digital potentiometers; and the signal amplification and constant current output module is used for amplifying the waveform voltage signal output by the signal source module, converting the waveform voltage signal into a constant current signal and outputting the constant current signal to the output module. According to the invention, the electric field intensity generated by the stimulation current at the deep brain target spot is improved, so that the deep brain region is effectively stimulated, and a more remarkable stimulation intervention effect is achieved.

The invention discloses a self-adaptive transcranial electrical stimulation method and system, and relates to the technical field of transcranial electrical stimulation equipment.The method comprises the steps that tested electroencephalogram data are obtained and transmitted to a brain activity analysis module to calculate real-time electroencephalogram indexes and judge whether electroencephalogram is abnormal or not, and abnormal targets, the number N of abnormal frequency bands and the abnormal frequency bands are recorded; a stimulation target spot is determined in a target spot selection module in a self-adaptive mode based on the abnormal target spot and the abnormal frequency band number N; a self-adaptive stimulation waveform is generated in the stimulation waveform generation module based on the abnormal target, the number N of abnormal frequency bands and the abnormal frequency bands; according to the transcranial electrical stimulation method and system, the appropriate stimulation target spot can be automatically selected in real time according to the brain activity state, meanwhile, parameters such as the stimulation waveform, the stimulation frequency, the stimulation duration and the stimulation amplitude can be modified in real time according to the brain activity state, and therefore the transcranial electrical stimulation effect is improved. Therefore, the medicine is suitable for various different diseases.

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.

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.

The invention discloses a non-invasive nerve regulation and control system for treating idiopathic tremor by regulating and controlling a dentoid nucleus, and the system comprises a target positioning device which is used for transmitting an electromagnetic wave to a target object, receiving a corresponding feedback signal, constructing a magnetic resonance image of the target object, and positioning the position of the dentoid nucleus; the electric field simulation device is used for carrying out tissue segmentation and conductivity distribution based on the magnetic resonance image, configuring electrodes based on a standard 10-20 EEG system of 32 channels, and carrying out finite element grid division to configure electrode parameters so as to form a target parameter electric field; and the transcranial electrical stimulation module is used for controlling an electrode to form the target parameter electric field so as to regulate and control the dentoid nucleus. And the stimulating electrode is driven to generate a simulated target electric field, so that dentate nucleus nerve regulation and control are carried out in a non-invasive manner, and risks and side effects of a traditional operation are avoided.

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.

The application discloses a kind of intracranial charged dispersion electric stimulation devices for depression, belong to transcranial electric stimulation field;A kind of intracranial charged dispersion electric stimulation devices for depression includes hat shell and electric stimulation main body, first round hole is opened in hat shell, electric stimulation main body includes the power supply box of cooperation installation with first round hole, at least six elastic metal supports are arranged around power supply box and are distributed in circumference, two elastic metal supports end portions located in front and back are equipped with two permanent magnet fixed slots, and two magnetic pole opposite permanent magnets are fixed respectively;The electrode assembly is installed in the end portion of the remaining multiple elastic metal supports located in left and right sides, and electrode piece capable of acting on brain is arranged on electrode assembly;Stimulating current can be generated between multiple electrode pieces, and current occurs charged dispersion in intracranial under the action of magnetic field generated by magnetic pole, and more parts such as amygdala, hippocampus can be stimulated.

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.

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 application discloses a head space positioning device and method based on capacitive coupling resistance impedance disturbance imaging. The device comprises a flexible electrode belt, a positioning pen, a data acquisition system and an imaging tracking system. The flexible electrode belt is a multi-layer structure, and has an array type flexible electrode in the inside, so that non-contact resistance impedance measurement is realized in a capacitive coupling mode; the positioning pen touches the scalp and emits an alternating current disturbance signal, so that position marking is realized; the data acquisition system controls the whole measurement and positioning process, and collects resistance impedance data used for disturbance imaging; and the imaging tracking system is used for disturbance imaging and touch point tracking display. The method comprises the following steps: wearing the flexible electrode belt and registering a coordinate system; marking a position on the scalp by using the positioning pen; collecting disturbance resistance impedance data; and performing disturbance imaging, calculating a three-dimensional coordinate of a touch point and displaying. The application has the advantages of simple structure, real-time and rapid response, pixel level positioning precision, and suitability for neurosurgical operation navigation, precise EEG electrode / transcranial electrical stimulation target point pasting and the like.

The application provides a closed-loop adaptive transcranial electrical stimulation device and method, the device comprising a transcranial electrical stimulation unit and an electroencephalogram acquisition unit controlled by a control unit and sharing the same set of electrodes, and the control unit controls the connection of the electrodes through a switching circuit. The method acquires electroencephalogram data and paradigm behavior data, combines multi-modal data fusion calculation to evaluate the state of the subject, compares it with the preset control target, adopts the preset control model for control, and completes the state evaluation result of the subject and the preset control target without deviation. The application can realize a closed-loop adaptive transcranial electrical stimulation control mode.

The present application discloses a closed-loop transcranial electrical stimulation device and system, which includes: a control module, a transcranial electrical stimulation module, an electroencephalogram acquisition module, an acquisition and stimulation integrated module, and a blood oxygen detection module. The control module controls the transcranial electrical stimulation module to perform electrical stimulation on a target object according to an initial stimulation scheme. During the stimulation process, the electroencephalogram acquisition module and the blood oxygen detection module collect the electroencephalogram data, pulse data, and blood oxygen data of the target object, and adjust the initial stimulation scheme according to these data to obtain a target stimulation scheme. According to the target stimulation scheme, the transcranial electrical stimulation module is controlled to perform a new round of transcranial electrical stimulation on the target object. The closed-loop transcranial electrical stimulation device and system provided by the present application realize the function of closed-loop brain nerve stimulation.

The application discloses a closed-loop transcranial electrical stimulation method, device, equipment and storage medium, and comprises the following steps of brain electrical signal acquisition, autoregressive model construction and prediction, phase extraction, phase difference calculation and adjustment, AM signal generation and TIS stimulation signal generation. The method can predict future brain electrical signals by using an autoregressive model, and combines a phase extraction technology to ensure that an electrical stimulation signal is synchronized with a specific phase of target brain electrical activity, the generated stimulation signal is used for nerve regulation in a TIS mode, the overlap of the stimulation signal interference frequency band and the brain electrical signal spectrum is effectively avoided, and therefore the space-time accuracy and individualized adjustment capability of nerve regulation are greatly improved. Moreover, the TIS signal can noninvasively regulate deep brain areas, and has better brain area stimulation effect. The application relates to nerve regulation technology.

The present application relates to the technical field of transcranial electrical stimulation, and discloses a human brain transcranial stimulation circuit, comprising: obtaining brain status data of a user to be stimulated; analyzing the connection relationship between brain regions based on the brain status data, 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 map and the corresponding preset value, combined with a preset abnormality detection model, analyzing the abnormal area in the brain network map to obtain the brain target area; generating a stimulation strategy based on the brain target area; optimizing the stimulation strategy in combination with the brain status data to achieve closed-loop control of the stimulation strategy; the present application combines the user's real-time status to dynamically generate stimulation signals, accurately locate the brain target area and optimize the stimulation strategy, which can more effectively stimulate the brain target area, make the treatment process more scientific and reasonable, and improve the effect and efficiency of the treatment.

The invention discloses a control method and device of transcranial electrical stimulation equipment, electronic equipment and a storage medium, the control method of the transcranial electrical stimulation equipment can be applied to the technical field of brain-computer interfaces, the transcranial electrical stimulation equipment comprises a plurality of electrodes, and each electrode is used for being in contact with a target stimulation object. Carrying out transcranial electrical stimulation and electroencephalogram signal acquisition on the target stimulation object; the method comprises the following steps: in a transcranial electrical stimulation process, acquiring electroencephalogram signals acquired by a plurality of electrodes; based on the electroencephalogram signals collected by the multiple electrodes, the contribution degree of each electrode to transcranial electrical stimulation is adjusted; for each electrode, updating a target electrical stimulation parameter corresponding to the electrode based on the initial electrical stimulation parameter corresponding to the electrode and the adjusted contribution degree corresponding to the electrode; and controlling the electrode to perform transcranial electrical stimulation based on the updated target electrical stimulation parameter corresponding to the electrode. According to the transcranial electrical stimulation system and method, individuation and accurate control of each electrode are achieved, and the effect and safety of transcranial electrical stimulation are improved.

The invention discloses a transcranial electrical stimulation finite element simulation method and a related device, and the method comprises the steps: carrying out the high-frequency conductivity imaging based on magnetic resonance, and obtaining the high-frequency conductivity; according to the high-frequency conductivity, reconstructing a low-frequency conductivity tensor based on a magnetic resonance diffusion tensor imaging technology; constructing an individual head finite element model with voxel-level conductivity according to the reconstructed low-frequency conductivity tensor; and performing electric field solution on the individual head finite element model by using a finite element method to obtain an electrical stimulation electric field distribution simulation result under the specified electrode. According to the method, the limitation of brain tissue segmentation errors and isotropic hypothesis is avoided, the accuracy and physiological credibility of conductivity modeling and simulation are remarkably improved, and a reliable basis can be provided for individualized optimization design and clinical application of transcranial electrical stimulation.

The invention belongs to the technical field of crossing of neural engineering and sleep medicine, and provides a closed-loop transcranial electrical stimulation system and method based on cerebrospinal fluid and vascular resonance regulation, and the method comprises the steps: firstly collecting related data of the diameter of a blood vessel and related data of the flow velocity of the cerebrospinal fluid; then, according to the related data of the blood vessel diameter and the related data of the cerebrospinal fluid flow velocity, the phase difference between the blood vessel and the cerebrospinal fluid is obtained by means of a maximum independent variable point set function; determining an electrical stimulation frequency according to the phase difference between the blood vessel and the cerebrospinal fluid and a preset relationship between the phase difference and the stimulation frequency; and finally, performing transcranial electrical stimulation according to the determined electrical stimulation frequency. According to the invention, cerebrospinal fluid flow and blood vessel factors are considered, and real-time dynamic determination and adjustment of the electrical stimulation frequency are realized through the determined phase difference between the blood vessel and the cerebrospinal fluid, so that the electrical stimulation effect is improved, and the sleep quality under electrical stimulation is ensured.

The present application discloses a transcranial electrical stimulation device and system based on multimodal data, the device comprising: an analog front-end module, an ADC acquisition module, a blood oxygen detection module, a control module, a transcranial electrical stimulation module, and an acquisition and stimulation integrated module. A preset stimulation scheme is obtained through the control module, and the preset stimulation scheme is adjusted according to a third EEG signal, pulse data, and blood oxygen data of a target object to obtain a target stimulation scheme, and a target control instruction corresponding to the target stimulation scheme is determined; the target control instruction is transmitted to the transcranial electrical stimulation module, and the transcranial electrical stimulation module controls the acquisition and stimulation integrated module to perform transcranial electrical stimulation on the target object according to the target control instruction, so as to improve the stimulation effect of transcranial electrical stimulation on the target object. By adopting the embodiments of the present application, the stability of tES stimulation therapy is improved.

The application discloses a fatigue intervention system and device based on electroencephalogram, wherein the intervention system comprises an electroencephalogram acquisition module, at least comprising a first electrode, for acquiring electroencephalogram data of a target through the first electrode; a transcranial electrical stimulation module, at least comprising a second electrode, for implementing weak current electrical stimulation signals on the target through the second electrode according to a stimulation instruction, wherein the electrical stimulation signals comprise direct current stimulation signals or alternating current stimulation signals or random noise signals; and a processing module, for acquiring the electroencephalogram data fed back by the electroencephalogram acquisition module, and matching the stimulation instruction according to the electroencephalogram data. The application provides a system and device which are mild in stimulation, not easy to be interfered, obvious in intervention effect and effective in recovery of fatigue.

The application discloses a deep learning-based electroencephalogram slow wave real-time feedback transcranial electrical stimulation method and system, relates to the cross technical field of neural regulation and deep learning, and comprises the following steps: collecting electroencephalogram signals of a target object and pre-processing the electroencephalogram signals to obtain pre-processed electroencephalogram signals; inputting the pre-processed electroencephalogram signals into a pre-constructed deep learning model for analysis to obtain a latent representation representing the dynamic state of electroencephalogram slow waves; wherein the deep learning model is obtained through the collaborative training of three types of self-supervised targets, namely self-predictive representation, unsupervised target conditional reinforcement learning and inverse dynamics modeling; transcranial electrical stimulation parameters are decided based on the latent representation, wherein the stimulation parameters at least include a stimulation type, a stimulation intensity and a stimulation frequency; and corresponding transcranial direct current stimulation or transcranial alternating current stimulation is output to specific brain regions of the target object according to the transcranial electrical stimulation parameters.