208 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 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 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 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 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 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 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.

A portable multichannel time interference transcranial electrical stimulation system is characterized in that the portable multichannel time interference transcranial electrical stimulation system comprises an upper computer information management system and a portable multichannel time interference transcranial electrical stimulation device; the portable multichannel time interference transcranial electrical stimulation device comprises a single-chip microcomputer master control module, a power management system, a man-machine interaction module, a signal transmission module and a time interference electrical stimulation core unit. The modular design is adopted, and the number of the time interference core subunits can be increased to four through a board-to-board connector according to the requirements of users, so that four-channel time interference output with adjustable parameters is realized, the maximum output load is as high as 25 kilohms, and the driving capability of stimulation is improved. And the system has the advantages of high-precision current output, real-time monitoring and personalized management, provides convenience for data analysis and remote support for medical staff, and is beneficial to improving the treatment effect and the treatment experience of patients.

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 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 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 present invention discloses a sleep aid device, method, terminal and storage medium with automatic module switching. The present invention integrates a transcranial electrical stimulation module and a transcutaneous electrical stimulation module into a sleep aid device, and dynamically switches the two modules through EEG activity and hand movement trajectory. Since the two modules act on different parts of the body respectively, it can effectively solve the problem that the current wearable sleep aid device only acts on one part of the body, and once it falls off, the sleep aid effect will be reduced.

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 a multi-channel impedance detection control method and circuit and transcranial electrical stimulation equipment, the multi-channel impedance detection control method is applied to the transcranial electrical stimulation equipment, and comprises the following steps: acquiring waveform signals output to each electrode channel by a controller in the transcranial electrical stimulation equipment; conducting and sampling the waveform signals of the plurality of electrode channels in turn to obtain detection current corresponding to each electrode channel; performing operational amplification on the waveform signal corresponding to each electrode channel to obtain a corresponding constant current source output, and performing turn-on sampling on the constant current source outputs of the plurality of electrode channels in turn according to a sequence of turn-on sampling of the waveform signals of the plurality of electrode channels to obtain an output voltage corresponding to each electrode channel; and obtaining the impedance of the electrode of the electrode channel according to the detection current of each electrode channel and the corresponding output voltage.

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 provides a transcranial electrical stimulation device and method compatible with high-field and ultrahigh-field magnetic resonance imaging, and belongs to the technical field of medical equipment. The device comprises an electrical stimulation module, a multi-stage bidirectional filtering module and a multi-magnetic-conduction compatible electrode, the electrical stimulation module generates an electrical stimulation signal according to an electrical stimulation mode and parameters selected by a user, and sends the electrical stimulation signal to the multi-permeability compatible electrode; after the multi-permeability compatible electrode completes electrical stimulation, corresponding electroencephalogram signals are collected; the bidirectional filtering module carries out filtering processing on bidirectional communication signals in the multi-conductor shielding wire. The problem that high-field and ultrahigh-field nuclear magnetic resonance environments interfere with the electrical stimulation device is solved, the electrical stimulation device does not affect nuclear magnetic resonance imaging, compatibility of high-field and ultrahigh-field nuclear magnetic resonance imaging and the electrical stimulation device is truly achieved, meanwhile, multiple electrical stimulation modes are provided, the multi-channel electroencephalogram collection function and other functions are achieved, and the application range is wide. The newest requirements of clinical use and scientific research are met.

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 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.

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.