1259 results about "Electro stimulation" patented technology

An in vitro training method includes scanning a user's oral cavity to create a first oral cavity model. An articulator body is selected according to the first oral cavity model, and plural first customized electrode sheets are formed and assembled onto the articulator body to obtain an in vitro training device. The user bites the in vitro training device during a non-sleep period and uses the plural first customized electrode sheets to proceed with electrical stimulation on a top surface and two sides of a tongue of the user, thereby training a muscular endurance of infrahyoid muscles of the user for a training period. The user's oral cavity is scanned again to create a second oral cavity model. The first oral cavity model is compared with the second oral cavity model to timely renew the customized electrode sheets when the image over rate is lower than 80%.

The invention discloses an intelligent orthopedic rehabilitation self-adaptive evaluation method and device based on multi-modal physiological feedback. The method comprises the steps that multi-modal physiological data including electromyographic signals, knee joint three-dimensional motion trails, plantar pressure distribution and cognitive input degree of a subject are synchronously collected; constructing a three-dimensional baseline vector according to the MMT muscle force test, knee joint ROM measurement and VAS pain score of the subject; inputting the multi-modal physiological data and the three-dimensional baseline vector into a personalized orthopedic rehabilitation model, and outputting a knee joint function index prediction value and personalized rehabilitation adjustment parameters; dynamically adjusting electrical stimulation parameters according to rehabilitation adjustment parameters output by the personalized orthopedic rehabilitation model; if the cognitive load index exceeds the early warning line, the electrical stimulation intensity is reduced; otherwise, activating the hippocampus body wave stimulation mode. Adjustment is carried out according to the real-time state of the subject, blindness and subjectivity in the rehabilitation process are avoided, and the rehabilitation efficiency and success rate are improved.

The invention relates to the field of artificial intelligence (AI), in particular to an electrical stimulation method, an electrical stimulation device, electrical stimulation equipment and a storage medium. The method comprises the steps of obtaining a to-be-perceived image of a target object, inputting the to-be-perceived image into a trained electrical stimulation model to obtain electrical stimulation parameters output by the electrical stimulation model, and performing corresponding electrical stimulation operation on the target object to recover visual perception of the target object on the to-be-perceived image. An electrical stimulation generator in electrical stimulation is obtained by performing first link training and second link training based on a plurality of sample images and corresponding sample neural signals, the first link represents a verification link among electrical stimulation parameters, analog neural signals and reconstructed images, and the second link represents a verification link among the reconstructed images. The second link represents a verification link among the electrical stimulation parameters, the light magical view image and the sample image, so that the electrical stimulation model can greatly optimize the generation process of the electrical stimulation parameters, and the accuracy and generalization of restoring visual perception through electrical stimulation are improved.

The present disclosure provides an implanted nerve stimulator electrode for an implanted nerve stimulation system, the implanted nerve stimulator electrode being adapted to be at least partially implanted into a human body and receiving an electrical signal from an implanted pulse generator to apply electrical stimulation to the human body. An implanted nerve stimulator electrode includes an elongate body, a plurality of wires, and at least one nerve stimulation contact structure. The nerve stimulation contact structure is in a hollow sleeve shape and is suitable for being arranged on the main body in a sleeving mode. Each nerve stimulation contact structure comprises at least two contacts, and when the nerve stimulation contact structures are arranged on the main body in a sleeving mode, each contact on the nerve stimulation contact structure is electrically connected with one corresponding wire. After the nerve stimulation contact structure provided by the invention is sleeved on the main body, an operator can weld the corresponding wire to the contact under the condition of no shielding or little shielding, so that the welding difficulty from the contact to the wire is reduced. And the production efficiency is improved.

The invention belongs to the technical field of nerve regulation and control, and discloses a portable noninvasive brain deep electrical stimulation system based on time interference, and the system comprises an electroencephalogram signal collection unit which is used for obtaining an electroencephalogram signal in a high-quality resting state, and carrying out the signal preprocessing and feature extraction, thereby obtaining an optimal stimulation envelope frequency; the personalized finite element modeling unit is used for constructing a head personalized model and outputting optimal electrode configuration and stimulation parameters for a target brain region target spot; the electrode positioning and stimulation execution unit is used for realizing accurate positioning of an electrode position and implementing time interference electrical stimulation; the MCU unit is used for realizing data management, task scheduling and remote communication; the human-computer interaction unit is used for realizing visual treatment flow and parameter setting; and the power supply management unit provides stable working voltage for the system. According to the invention, the portable, intelligent and personalized modeling of the electrical stimulation treatment equipment is realized, and the precision and efficiency of nerve regulation and control are remarkably improved.

The invention relates to the technical field of medical rehabilitation training, in particular to an intelligent hand training method and system, electronic equipment and a storage medium, and the method comprises the steps: receiving a training mode instruction selected by a user; real-time biomechanical data of the affected side hand are collected through a multi-source sensor array, the real-time biomechanical data comprise finger joint angles, electromyographic signal intensity and a touch pressure distribution matrix, and when the affected side hand is in a mirror image training mode, the six-degree-of-freedom motion trail of the uninjured side hand is synchronously collected; calling a corresponding algorithm model for processing based on the training mode, and generating a control instruction set containing pneumatic pressure parameters, electrical stimulation waveforms and virtual interaction instructions; the control instruction set is sent to a server side, a mechanical glove arranged on the hand of the affected side in a sleeving mode executes corresponding pneumatic-electric combined driving operation, and multi-sense feedback is synchronously presented. According to the application, the composite requirements of patients in different rehabilitation stages on training mode diversity, control accuracy and interactive immersion can be met.

The invention belongs to the technical field of hydrogel, and relates to piezoelectric / conductive integrated hydrogel for jaw defect repair, which is prepared from methylacryloyl protein, zwitterionic monomer and titanate piezoelectric particles through ultraviolet crosslinking under the action of a crosslinking agent and a photoinitiator, the hydrogel comprises, by mass, 1.0%-10% of methacrylated protein, 1.0%-10% of zwitterionic monomers, 1.0%-10% of titanate piezoelectric particles and 0.1%-5% of an initiator, and the volume fraction of an accelerant is 0.05%-1.0%. The hydrogel disclosed by the invention has excellent mechanical strength and certain flexibility, can realize piezoelectric and conductive functions of the hydrogel, can effectively promote proliferation, differentiation and mineralization of bone cells under the action of an electric field, accelerates bone tissue repair, and has a more remarkable bone regeneration effect compared with a non-electrical stimulation material in the prior art.

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.

Disclosed is a beauty treatment device that kills adipocytes by locally sucking in skin to be treated and sequentially applying a high-frequency current and a high-voltage pulse. The beauty treatment device according to the present invention comprises: a main body unit; and a suction treatment unit coupled to the main body unit and having a treatment space for applying electrical stimulation by sucking in the skin of a user, wherein the suction treatment unit comprises: a suction nozzle made of a resin material, which partitions the treatment space; and a pair of electrodes disposed inside the suction nozzle so as to face each other at a distance, and the pair of electrodes have a metal conductive layer formed by plating the surface of a resin material electrode core with a conductive metal.

To provide a system for transmitting blood pressure reduction electrical stimulation to the heart of a patient capable of determining a desirable AV delay.SOLUTION: The atrium is paced and the ventricle is paced with a given (arbitrary) delay to obtain a desired blood pressure change. Then, the atrium is sensed, the ventricle is paced, the blood pressure change is observed, and the resulting blood pressure change is compared with the paced-atrium-paced-ventricle desired blood pressure change. In the case where the blood pressure changes are not substantially equal, the timing of the sensed-atrium-paced-ventricle stimulation is adjusted on the basis of the comparison. The new modified resulting blood pressure change is observed, and the modified blood pressure change is compared with the paced-atrium-paced-ventricle desired blood pressure change. Adjustment and observation may be repeated until the timing of the sensed-atrium-paced-ventricle stimulation achieves the same blood pressure change as the desired blood pressure change of the paced-atrium-paced-ventricle stimulation.SELECTED DRAWING: Figure 9

Techniques to help improve efficiency or effectiveness of treating a disorder such as RLS or PLMD, such as by issuing neural electrostimulations to a particular patient, while varying one or more amplitude parameters (e.g., at least one of electrostimulation current amplitude, electrostimulation voltage amplitude, or electrostimulation pulsewidth duration). A corresponding patient-subjective or patient-objective response can be observed. A characteristic electrostimulation intensity relationship can be generated, for example, based on the determined respective at least one of RLS or PLMD response indication threshold amplitude parameters and the plurality of corresponding neural electrostimulation durations. Once this characteristic electrostimulation intensity relationship has been generated, it can then be used to control issuing subsequent neural electrostimulations to the particular patient according to (1) at least one goal and (2) a variable operating point based upon the generated characteristic electrostimulation intensity relationship.

The invention relates to the technical field of neuroscience and medical treatment, in particular to an individual head model dynamic optimization method and system based on transcranial alternating current stimulation. According to the method, the three-dimensional initial individual head model is partitioned, the parameters are set, the real-time electrical stimulation parameters and the real-time electroencephalogram information of the individual head under the stimulation effect are synchronously obtained, and then the parameters of the initial head model are adjusted according to the real-time data; then, according to the obtained data, simulating and calculating electrophysiological change data of the three-dimensional initial individual head model under the action of initial transcranial alternating current stimulation, and based on a focusing index value and a uniformity index value calculated through the electrophysiological change data, optimizing dynamically-adjusted head model parameters, and finally, calculating a focus index value and a uniformity index value of the three-dimensional initial individual head model under the action of initial transcranial alternating current stimulation. The information entropy difference value obtained through calculation of the optimized head model parameters and the real-time electroencephalogram information is compared with a preset difference threshold value, a clear termination condition is provided for optimization of the head model parameters, and therefore dynamic optimization of the individual head model is achieved.

The invention provides a cognitive function in-vitro simulation method based on a microelectrode array (MEA) and brain organs and application of the cognitive function in-vitro simulation method, and belongs to the crossing field of brain organ in-vitro model construction, neural engineering, brain-like intelligence and the like. In an in-vitro environment, external signal (such as sound) information is converted into electrical stimulation input capable of being perceived by brain organs in an MEA electrical stimulation mode, so that the brain organs gradually learn and identify external signals in repeated electrical stimulation; after elution stimulation for a period of time, the reduction condition of recognition accuracy is observed, namely, the important memory and forgetting process in the cognitive function is simulated. According to the method, the electrophysiological response and the biological mechanism change of the brain organs under external electrical stimulation can be quantitatively evaluated, and a new possibility is provided for exploring the advanced cognitive function by utilizing the brain organs.

The invention relates to the technical field of electric acupuncture apparatuses, and discloses a method and a system for automatically adjusting stimulation parameters of an electric acupuncture apparatus. According to the method, body surface electromyographic signals, skin impedance and capillary hemodynamic parameters of a user are collected in real time through a sensor set, feature extraction and analysis are conducted through a time sequence prediction model of a Transform architecture, and physiological feature data are generated. And then, constructing a user physiological state characterization model by adopting a multi-modal neural perception fusion algorithm, and carrying out collaborative optimization on the electrical stimulation parameters through an adaptive quantum particle swarm optimization algorithm to generate a stimulation parameter combination matched with the real-time neuromuscular response characteristics of the user. The system drives electrical stimulation output according to the parameter combination, monitors physiological data changes in real time, realizes closed-loop dynamic balance of stimulation parameters and biological feedback signals through the dynamic parameter compensation module, and improves the treatment effect and safety.

The invention discloses a tremor stimulation method and a tremor stimulation device. The tremor stimulation method comprises the following steps: 1) continuously acquiring tremor information of a subject; 2) extracting the tremor amplitude and the change of the tremor frequency along with time; and 3) based on the change of the tremor amplitude at the current moment and the previous moment and the change of the tremor frequency at the current moment and the previous moment, a stimulation scheme at the next moment is generated, and the stimulation scheme at least comprises a stimulation current value of the electrical stimulation signal and a waveform frequency combination. According to the tremor stimulation method, a series of tremor information is obtained based on continuous collection of tremor activities of the subject within a period of time, the change trend of the tremor amplitude and the tremor frequency is extracted from the tremor information, and a personalized stimulation scheme is generated in real time according to the real-time tremor condition of the subject. And the effectiveness of the stimulation effect and the comfort of a patient are guaranteed to the greatest extent.

The invention discloses a respiratory therapy system and method based on biofeedback, and belongs to the field of medical instruments, and the therapy method comprises the following specific steps: S1, collecting and recording multiple paths of user physiological parameters; s2, respiratory rhythm extraction is carried out according to the characteristics of the multi-path data; s3, analyzing each piece of feature data to obtain the confidence coefficient of each piece of data, calculating the total confidence coefficient, and rejecting non-ideal data; according to the invention, by realizing coordination of electrical stimulation between diaphragm and abdominal muscles, the effect of synchronizing with breathing of a user is achieved, the expiration ability is improved, the recovery of respiratory muscle functions of a patient is promoted, the muscle strength and endurance are gradually improved, the dyspnea symptom is relieved, the exercise ability and exercise endurance are improved, and the life quality of the patient is improved.

The invention belongs to the technical field of battery dressings, and particularly relates to a wearable magnesium battery self-powered dressing for chronic wound healing and a preparation method and application thereof. A flexible conductive carbon cloth coated with a viologen-based covalent organic framework material is used as a battery positive electrode, a magnesium sheet is used as a negative electrode, polyacrylamide hydrogel is used as a solid electrolyte, and the flexible wearable self-powered dressing is assembled. The formed electrode can effectively input electrical stimulation to the wound surface, the dressing can simulate an endogenous electric field in the wound, induce migration of fibroblasts, regulate the immune microenvironment of the wound and inhibit inflammatory response, polyacrylamide is used as gel electrolyte, and the dressing has good hygroscopicity, can absorb exudate at the wound surface and keep a wet healing environment, and can be applied to the wound healing. The chronic wound healing of the rat is effectively promoted. The self-powered dressing prepared by the invention provides a reliable electrotherapy method for chronic wound healing.

The invention discloses a stimulating electric field display method, device, system and equipment, a medium and a product. The method comprises the steps that in response to a model display operation, a target object and a brain tissue image model corresponding to the target object are determined, and the brain tissue image model comprises at least one deep brain stimulation electrode model; in response to the electrode configuration operation, determining electrode configuration information and stimulation parameter application information of each electrode model; and in response to an electric field display operation, determining program-controlled electric field information of at least one electrode model under the electrode configuration information and the stimulation parameter application information, and displaying the program-controlled electric field information on the displayed brain tissue image model. Based on the technical scheme of the invention, the effect of quickly calculating and displaying the distribution condition of the program-controlled electric field simulated by any electrode configuration and the electrode model under the applied voltage on the brain tissue image model can be realized, and a technician can be effectively assisted in performing deep brain stimulation electrode configuration.

The invention relates to the technical field of medical equipment, provides a non-intrusive closed-loop ear vagus nerve stimulator for improving cerebral apoplexy and a use method, and aims to improve the symptoms of a patient by stimulating the ear vagus nerve in a conchae area. The device integrates an electrical stimulation electrode, a host and a closed-loop feedback module, monitors brain blood flow changes and other physiological parameters of a patient in real time, and automatically adjusts stimulation parameters through an intelligent algorithm to realize personalized treatment. A microprocessor, a multi-mode monitoring unit and a data fusion analysis unit are arranged in the host, and accurate and efficient treatment is ensured. In addition, the equipment supports remote intelligent monitoring and guidance, a treatment plan can be remotely adjusted, and the treatment effect is improved. A user interaction interface is friendly, and operation of patients and medical staff is facilitated. The stimulator is light in design, the conductive silica gel electrode is adopted, through real-time monitoring and intelligent adjustment, accurate and efficient treatment is provided for a patient, the comfort level and treatment convenience of the patient are ensured, and a safe and effective rehabilitation scheme is provided for the stroke patient.

The invention discloses a time interference electrical stimulation system for suppressing, controlling and adjusting, which comprises an image acquisition module for acquiring functional magnetic resonance images to acquire functional connection data; the stimulation module is used for respectively generating time interference electrical stimulation waveforms in the plurality of stimulation areas so as to stimulate the corresponding stimulation areas and adjusting stimulation parameters; the evaluation module is electrically connected with the image acquisition module and the stimulation module, acquires cognitive emotion evaluation data, and obtains an emotion and cognitive neural circuit regulation result by combining the emotion evaluation data and the function connection data as an inhibition control capability evaluation index; and the control module is electrically connected with the stimulation module and the evaluation module, and controls the stimulation module to adjust the stimulation parameters based on the emotion and cognitive neural circuit adjustment result. According to the system, effective time interference electrical stimulation is carried out on a plurality of inhibition control intervention brain regions, stimulation parameters are improved by implementing stimulation effect evaluation, and a favorable adjustment means is provided for inhibition control of multi-region and complex network modulation.

An implantable medical device to restore brain-controlled movement and sensation after neural injury. The device comprises a brain-computer interface capable of acquiring electrocorticogram (ECoG) signals recorded directly from the surface of the brain and uses the signals to enable direct control of paralyzed muscles, limbs or extremities while simultaneously receiving signals from external sensors and converting them into electrical stimulation patterns for the brain's sensory areas.

The invention belongs to the field of big data, and provides a wearable nerve regulation and control method and system based on cloud AI control, and the method comprises the steps: collecting user data through a wearable nerve regulation and control device worn on the limb part of a user, the user data being physiological data and / or motion data; uploading the user data to a cloud server, wherein the cloud server is provided with an artificial intelligence model; the artificial intelligence model receives the user data, and generates personalized nerve electrical stimulation parameters in combination with pre-stored user historical treatment data and / or medical history data; the cloud server issues the personalized nerve electrical stimulation parameters to the wearable nerve regulation and control device, and the wearable nerve regulation and control device executes transcutaneous nerve electrical stimulation operation based on the personalized nerve electrical stimulation parameters.

The invention provides a tumor treatment electric field system which comprises an electric field therapeutic instrument and at least two pairs of insulated electrodes electrically connected with the electric field therapeutic instrument. An alternating electric signal direction switching period, an AC voltage amplitude peak value of the alternating electric signal, working periods of the alternating electric signal, a continuous conduction time period t1 of the alternating electric signal in each working period and a preset specific voltage V are stored in the electric field therapeutic apparatus. The continuous conduction time period t1 comprises a switching-on time period t3, a switching-off time period t4 and conduction time periods located between the switching-on time period t3 and the switching-off time period t4, and the preset specific voltage V is an AC voltage amplitude value of the alternating electric signal in each conduction time period and is not greater than an AC voltage amplitude peak value; the AC voltage amplitude of an alternating electric signal applied by the electric field therapeutic apparatus is increased from 0 to the preset specific voltage V in a gradually increasing mode within a switching-on time period t3, and the gradually increasing mode at least comprises 20 first steps, so that electrical stimulation generated when the alternating electric signal is alternately applied between different pairs of insulated electrodes is reduced.

This application relates to the field of biomedical technologies, and provides a data processing method and related devices. The method includes: collecting first data and second data from a patch clamp electrophysiological system, where the first data is data generated after a configured carbon fiber electrode applies multiple scanning voltages to a cell, and the second data is data generated after a configured stimulating electrode applies an electrical stimulation to the cell and then the configured carbon fiber electrode applies multiple scanning voltages to the cell; extracting target current data from the first data, and generating a first curve based on the target current data and the second data; sampling a single scanning voltage to obtain target sampling points, and generating a corresponding second curve based on the initial current data and the sampling time of the multiple target sampling points in the sampled first data or the sampled second data, so as to be able to obtain the original current and voltage data and convert the original data into an intuitive and effective curve.

The invention relates to the technical field of ultrasonic signal filtering, in particular to an electric superfield electromagnetic interference suppression method, device and system, and the method comprises the steps: determining a frequency domain consistent characteristic value of each modal component through analyzing the similarity of all frame signals of each modal component in a frequency domain, and combining the time domain consistent characteristic value to obtain an electromagnetic interference suppression result; determining a periodic characteristic value; and respectively analyzing the difference between each modal component in the ultrasonic signal in each probe and all modal components in the cluster where the modal component is located in the frequency domain and the time domain, constructing a time-frequency characteristic value, determining an ultrasonic characteristic value in combination with the periodic characteristic value, and suppressing the electromagnetic interference of the electric superfield. The electromagnetic interference generated by the electrical stimulation signal can be accurately identified and eliminated, so that the stability and the treatment effect of the electric ultrasonic therapeutic apparatus are improved.

The invention provides a multi-source information fusion intelligent rehabilitation glove system. A main control unit of the system is used for coordinating and controlling all parts of rehabilitation gloves; the charging interface charges the battery; the control panel provides an interactive interface between a user and the system; the servo linear motor is used for controlling movement and position feedback of the rehabilitation glove; the battery supplies power to the system; the LED lamp is used for visual stimulation; the buzzer is used for audio stimulation; the low-frequency electrical stimulation interface is used for electrical stimulation; the multi-source fusion control module is used for monitoring a pressure signal and a muscle activity potential signal of the glove and controlling the movement and strength of the glove in real time; and wireless communication is used for data transmission and remote monitoring. By integrating multi-source information sensory stimulation, the rehabilitation process is enhanced, and particularly, the rehabilitation of damaged nerves is facilitated. Secondly, the multi-source information fusion control module monitors and adjusts hand movement and muscle movement of the patient in real time through a pressure sensor and a myoelectricity sensor, and personalized rehabilitation support is provided.

The invention provides a brain deep electrical stimulation electrode parameter determination method and related equipment, and the method comprises the steps: building a head simulation model which comprises conductivity distribution; determining one or more target stimulation target spots and one or more non-target inhibition areas on the head simulation model; based on one or more target stimulation target spots and one or more non-target inhibition areas, multiple groups of electrode configuration schemes are determined through an electrode positioning method, each group of electrode configuration scheme is configured on the head simulation model, and multiple groups of stimulation simulation models are obtained; performing finite element solution based on the anatomical structure and the conductivity distribution of each group of stimulation simulation models, and optimizing the electric field intensity of one or more target stimulation target spots and the electric field intensity of one or more non-target suppression regions to obtain a plurality of electrode parameters; and determining a target electrode parameter in the plurality of electrode parameters, and taking an electrode configuration scheme corresponding to the target electrode parameter as a target electrode configuration scheme.

The invention discloses a motor cortex excitability evaluation method based on threshold tracking magnetic stimulation, and relates to the technical field of biomedical engineering. The motor cortex excitability assessment method based on threshold tracking magnetic stimulation comprises the following steps: performing electrical stimulation on median nerves of a wrist of a subject, recording on an abductor politics brevis (APB), recording a stimuli-response curve, determining a stimuli-response (SR) curve of cortex stimulation by increasing the magnetic stimulation intensity to the following level, and determining the stimuli-response (SR) curve of cortex stimulation according to the stimuli-response (SR) curve. And calculating statistical parameters of the average value and the standard deviation of the excitability threshold values, and judging the dynamic trend of cortical excitability. According to the method, the stimulation-reaction curve of cortex stimulation is determined by improving the magnetic stimulation intensity to the following level, the central movement conduction time is calculated through the F-wave method based on the stimulation-reaction curve, initial stimulation and threshold determination are completed, subsequent threshold tracking is carried out on the technology, and the accuracy and the reliability of the system are improved. And an efficient and accurate brain motor cortex function detection means is provided for diagnosis of nervous system diseases.

A personalized intelligent auricular point massager based on electrical stimulation disclosed by the present invention comprises a massager frame, a control module, an electrical stimulator unit, a Bluetooth module and a sensor module, the electrical stimulator unit, the Bluetooth module and the sensor module are all connected with the control module, and the Bluetooth module is in communication connection with a mobile terminal. The massager frame is manufactured through the 3D printing technology and is attached to the outline of the ear, the electrical stimulator units are embedded into key acupuncture points of the massager frame, a millimeter-level ear micro-model is constructed through the three-dimensional scanning technology, and then automatic and accurate recognition and positioning of the auricular points are achieved through the image processing and neural network technology; finally, the massager frame fitting the physiological curve of the ear is customized through the 3D printing technology, acupuncture point positioning is accurate, the personalized adaptability degree is high, the technical requirement for operators is lowered, and the treatment effect is good.

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.