30 results about "Transcranial direct-current stimulation" patented technology

The invention provides a multichannel transcranial direct current stimulation cognitive function assessment method and system, and belongs to the field of neuroscience and brain cognitive function assessment. The method comprises the steps that electroencephalogram signal data of a subject under multi-channel transcranial direct current stimulation are collected and preprocessed; respectively performing micro-state analysis, brain function connectivity analysis and oscillation power analysis on the preprocessed data; constructing a linear mixed effect model, and inputting the results of the micro-state analysis, the brain function connectivity analysis and the oscillation power analysis into the model for quantitative evaluation of the cognitive function state; and a time sequence database is constructed, and the time sequence database is used for storing cross-time-point analysis results and analyzing the long-term change trend of the cognitive function based on a statistical model. Dynamic, accurate and high-temporal-spatial-resolution evaluation of the cognitive state of the subject is achieved, the long-term change trend of the cognitive state is dynamically monitored, and technical support is provided for early warning and rehabilitation effect tracking of neurodegenerative diseases.

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 invention relates to the technical field of artificial intelligence and big data, and discloses a learning disorder assessment and adaptive training system and method based on multi-dimensional behaviors, and the system comprises a multi-modal assessment module, a path generation module, a nerve regulation and control module and an adaptive engine module. By fusing multi-modal data features of language behaviors, electroneurographic signals and task response behaviors and combining a cross-modal attention mechanism to dynamically construct a cognitive state recognition model, learning disorder typing accuracy is improved, multi-dimensional ability defects such as attention, memory, language understanding and execution control are quantified based on a three-dimensional cognitive map, and learning disorder typing accuracy is improved. It is ensured that the assessment result comprehensively covers the core dimension of cognitive impairment; transcranial direct current stimulation is synchronously triggered in the cognitive task starting stage, space-time precise matching of task state nerve regulation and brain region activation is achieved, stimulation target point coordinates and current intensity are dynamically adjusted according to real-time nerve feedback, and the neuroplasticity reconstruction efficiency is improved.

The invention discloses an auxiliary artificial olfaction compensation method and device based on a brain-computer interface. The method comprises the steps that a scalp electroencephalogram cap is combined with a nasal cavity near infrared spectrum sensor to synchronously collect non-invasive signals; performing time-frequency analysis on the non-intrusive signal, and converting an alpha wave, a gamma wave and an individualized characteristic frequency band into a Poincare map and nonlinear kinetic parameters; according to the individualized olfactory brain network connection atlas, transcranial magnetic stimulation and transcranial direct current stimulation, setting a targeted stimulation position and intensity for a specific brain region related to olfactory perception; presenting a preset odor stimulus to the subject, evaluating the attention, emotion and olfactory perception state of the subject, and adaptively adjusting the intensity, frequency and odor concentration of the nerve stimulus and artificial olfactory stimulus to optimize the compensation effect. The olfactory functions of different regions of the brain of the olfactory disorder patient are collected through the brain-computer interface, and the regions corresponding to the brain are simulated and stimulated through gases with different smells to assist in stimulation and recovery of olfaction.

The invention relates to the technical field of neurological rehabilitation, in particular to a transcranial direct current closed-loop regulation and control method based on near-infrared brain oxygen real-time feedback, which comprises the following steps: collecting brain oxygen baseline signals of each region of the whole brain, calculating the mean value and the standard deviation of each brain region, and establishing a whole brain blood oxygen regulation and control threshold matrix of sub-regions and sub-parameters; dynamically adjusting the core target brain region, and adjusting the sampling frequency and the single detection duration according to the fluctuation frequency of the oxyhemoglobin concentration of the core target brain region; according to the signal fluctuation frequency, continuously adapting the detection parameters, and combining the comparison result of the core characteristic parameters and the whole brain blood oxygen regulation threshold matrix, optimizing the transcranial direct current regulation parameters, and outputting optimized data; by means of the mode, dynamic adaptation of the detection parameters and the signal fluctuation characteristics is carried out, and regulation and control collaboration is improved.

The invention relates to an electromagnetic synchronous stimulation control device and method, equipment, a medium and a program product, and the device comprises a target spot information generation module which is used for generating target spot position information; the stimulation parameter configuration module is used for generating a combined stimulation scheme data packet based on the stimulation parameter template and the target position information; the synchronous control instruction generation module is used for analyzing the combined stimulation scheme data packet and generating a first time sequence control signal and a second time sequence control signal; and the stimulation execution and feedback module is used for driving the transcranial direct current stimulation unit and the repeated transcranial magnetic stimulation unit to synchronously apply physical stimulation to the target spot position through the first time sequence control signal and the second time sequence control signal, collecting an electroencephalogram signal of the target object in real time and generating a stimulation execution log. Electromagnetic synchronous stimulation is applied to the same target spot at the same time, and the physiological addition and synergistic effect of an electric field and a magnetic field are utilized, so that the effect on reducing the epileptic seizure frequency and electroencephalogram epilepsy-like discharge is remarkable.

The invention discloses a nerve and blood vessel coupling model personalized real-time regulation and control method and device based on transcranial direct current stimulation response. According to the device, finite element simulation modeling and large-scale dynamic average field model building are carried out by obtaining multi-modal data (such as T1w, DWI and rs-fMRI) of a patient, and electric field distribution and neuron group activity of tDCS in the brain are simulated. In combination with nerve and blood vessel coupling characteristics, an individualized tDCS real-time regulation and control model is constructed, and stimulation parameters such as current intensity, electrode position and stimulation duration are dynamically adjusted. In the regulation and control process, neural activity and cerebral blood flow changes are monitored in real time, and the stimulation effect is optimized through a closed-loop feedback mechanism. The problems of individual difference, inaccurate real-time feedback and complicated equipment in the existing tDCS regulation and control are solved, the dependence on high-end equipment is reduced, the operation process is simplified, the accuracy and effectiveness of a personalized regulation and control scheme are improved, and the method is suitable for wide application in a clinical environment.

The invention discloses a wearable transcranial direct current stimulation rehabilitation head cap, and particularly relates to the technical field of medical instruments, the wearable transcranial direct current stimulation rehabilitation head cap comprises a rehabilitation head cap, a fixing structure is arranged at the bottom of the outer wall of the rehabilitation head cap, and filtering structures are arranged on the left and right sides of the middle position of the outer wall of the rehabilitation head cap; self-adaptive structures are arranged on the left side and the right side of the top of the outer wall of the rehabilitation head cap, and a temperature and humidity sensor is arranged in the rehabilitation head cap. According to the wearable transcranial direct current stimulation rehabilitation head cap, the fixing structure and the self-adaptive structure are arranged, so that the problem that the rehabilitation head cap is unstable to wear can be effectively solved, the accuracy of the electrode position is ensured, flexible adjustment can be performed according to the head shape of a user, air circulation can be promoted by arranging the filtering structure, and the rehabilitation effect is improved. By means of the structure, the proper temperature can be provided in the cold environment, the user experience is further optimized, stable locking can be achieved, looseness caused by external vibration or movement is prevented, and the reliability of the overall structure is enhanced.

The invention relates to a magnetic resonance imaging system comprising a device with a coil (7) with which a homogeneous magnetic field can be generated, a device with a coil (9) with which a high-frequency alternating magnetic field can be generated, with at least one antenna (1, 1a, 1b) for receiving an MR response signal, with an evaluation device which is set up in such a way that it can evaluate an MR response signal, with two electrodes (1, 1a, 1b, 13) and a control unit (4) which are set up in such a way that transcranial direct current stimulation can be carried out. The invention also relates to a method using such a magnetic resonance imaging system, wherein transcranial direct current stimulation (tDCS) and MRI or MRS are performed simultaneously. It can be used with a single modality. The invention therefore relates to an integrated multi-channel TDCS MRI system.

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.

The application discloses a kind of cognitive evaluation training method and system based on cortical network compensation mechanism.The method comprises the following steps: S1: the cognitive evaluation of patient is carried out, while detecting the brain electrical signal of patient;S2: by the first data processing module, the cognitive evaluation data and brain electrical signal of step S1 are received and carried out real-time processing and fusion calculation;S3: according to the comprehensive ability level value of each brain network and the overall cognitive function level value output by step S2, cognitive training scheme is given;S4: in the process of implementing cognitive training scheme, by transcranial direct current stimulation module, synchronous electric stimulation is carried out.The application realizes the targeted evaluation of whole brain network by combining cognitive evaluation and EEG monitoring, so as to accurately locate damaged brain network;Further, the method of cognitive training combined with EEG and transcranial direct current stimulation is used, the effective complement of cognitive training and transcranial direct current stimulation is realized, and the purpose of enhancing training effect is achieved.

A headset for transcranial brain stimulation including: a forehead frame defining an elongated arch; a first electrode arranged at a first end portion of the forehead frame; a second electrode arranged at a second end portion of the forehead frame; a bracket arranged at a center portion of the forehead frame; and a circuit comprising the first and second electrodes and configured to be powered according to a schedule for performing the transcranial brain stimulation.

1. Name of the product in this design: Transcranial Direct Current Stimulation Therapy Device (TDCS). 2. Purpose of this design: For adjunctive treatment of mental illness and neurological rehabilitation. 3. The key design feature of this product is its shape. 4. Images or photos that best illustrate the design key points: Use a combination of state diagrams.

The invention provides a transcranial direct current stimulation electrode positioning method based on artificial intelligence image recognition and application. In order to solve the technical problem that it is difficult for a user to autonomously and accurately place tDCS electrodes in a family environment, the method comprises the steps that real-time face image data of the user is obtained through a camera of intelligent equipment; using an artificial intelligence model to identify and output coordinates of a plurality of key points of the face; calculating the target position of the electrode on the head through an algorithm based on the geometrical relationship of the key points; and generating a visual mark on a display interface, and guiding a user to adjust the electrode to the target position in real time. The method can also comprise the steps of performing electrode attachment detection through a sub-electrode, and performing dual positioning verification by using an Apri lTag two-dimensional code. According to the method, a user can conveniently and quickly complete high-precision electrode positioning, and the usability, the treatment accuracy and the safety of tDCS equipment in a family scene are remarkably improved.

Embodiments may provide the capability to provide Transcranial Photobiomodulation (tPBM), Transcranial Direct Current Stimulation (tDCS), and Transcranial Alternating Current Stimulation (tACS) with dynamic closed loop feedback, such as may be provided by an Electro Encephalogram (EEG), as well as local and network-based processing to analyze and generate such signals. For example, in an embodiment, a device may comprise apparatus configured to apply Transcranial Photobiomodulation (tPBM) to a person, apparatus configured to apply Transcranial Direct Current Stimulation (tDCS) to the person, apparatus configured to obtain Electro Encephalogram (EEG) signals from the person, and apparatus configured to perform dynamic closed loop feedback of the tPBM and the tDCS based on the obtained EEG signals.

The application discloses a wearable electrode sheet and a transcranial direct current stimulation instrument thereof, and belongs to the technical field of the transcranial direct current stimulation instrument, which comprises an elastic band and a clamping assembly, the clamping assembly comprises a fixed frame and an insertion block, and the fixed frame and the insertion block are fixedly connected at two ends of the elastic band respectively; an electrode sheet body is installed on the inner side surface of the fixed frame; wherein when the insertion block is inserted into the fixed frame, the insertion block and the fixed frame are mutually inserted, the elastic band is connected end to end, and meanwhile, the insertion block has a pressing force for pressing the electrode sheet body against the human body, the application can always keep the electrode sheet body and the human body mutually adhered during wearing, and electrode sheet falling is avoided.

The invention discloses a head-mounted therapeutic apparatus for treating tinnitus through transcranial direct current stimulation and sound, which comprises an annular head band, and the two ends of the annular head band are connected through a first buckle structure; the inner side of the annular head band is connected with a longitudinal head band through a second buckle structure; the therapeutic apparatus further comprises electrode modules which are respectively arranged on the annular head band and the longitudinal head band. The sound modules are arranged on the two sides of the annular head band respectively; the control module is respectively connected with the electrode module and the sound module through lines; and the power supply module is arranged on the annular head band. By synchronously applying electrical stimulation and sound treatment, the tinnitus treatment effect is improved, the operation is simple and convenient, and the wearing adaptability is high.

The application provides a transcranial direct current stimulation electrode positioning method based on artificial intelligence image recognition and application. In order to solve the technical problem that a user is difficult to independently and accurately place a tDCS electrode in a home environment, the application provides: acquiring real-time image data of a user's face through a camera of an intelligent device; recognizing and outputting coordinates of a plurality of key points of the face by using an artificial intelligence model; calculating a target position of the electrode on the head based on geometric relations of the key points by using an algorithm; and generating a visual mark on a display interface to guide the user to adjust the electrode to the target position in real time. The application can further include electrode attachment detection by a sub-electrode and double positioning verification by using an AprilTag two-dimensional code. The method can enable the user to conveniently and quickly complete high-precision electrode positioning, and significantly improves the ease of use, treatment accuracy and safety of the tDCS device in a home scenario.

The invention relates to the technical field of rehabilitation medicine, and particularly discloses tongue edge pricking integrated diagnosis and treatment equipment for dysphagia and a use method of the tongue edge pricking integrated diagnosis and treatment equipment. The tongue edge pricking integrated diagnosis and treatment equipment for dysphagia comprises the following modules: a positioning module, a transcranial electrical stimulation module and a motion monitoring module, the use method comprises the following steps: S1, body position preparation; s2, disinfection treatment; s3, selecting instruments; s4, carrying out positioning operation; s5, applying transcranial direct current stimulation to Fengchi acupoints on the two sides before pricking; s6, circularly pricking each target spot according to the front, left and right sequence; s7, carrying out reaction monitoring; and S8, strengthening the curative effect. The treatment equipment can be used for clinical rehabilitation treatment of tongue movement dysfunction, dysphagia and dysarthria caused by cerebral apoplexy, traumatic brain injury and other nervous system diseases, and has the advantage of improving tongue muscle nerve remodeling accuracy and reliability.

The application discloses a subcortical functional atlas-based magnetic drainage regulation device and method, comprising: an acquisition module for acquiring an individualized brain atlas model based on a subcortical functional atlas; a regulation module for determining the position of a subcortical deep nucleus stimulation target according to the individualized brain atlas model and assisting transcranial direct current stimulation with a drainage magnetic field to perform deep nucleus stimulation regulation; wherein the position of the stimulation target is taken as an electromagnetic focusing center, and the drainage magnetic field is formed through a magnetic source coil; and a feedback module for dynamically adjusting the magnetic source coil according to a stimulation result to realize safe and accurate regulation of the target. The technical scheme of the application can solve the problem that transcranial direct current stimulation is difficult to balance stimulation safety and stimulation depth.

The present application relates to the technical field of medical devices and neuromodulation, and discloses an anxiety disorder transcranial electrical stimulation intervention system and method based on functional magnetic resonance, which comprises: a brain function image analysis module, which is used for acquiring functional magnetic resonance imaging data of a subject when performing a threatening stimulus attention bias task, extracting BOLD time series of the dorsolateral prefrontal cortex and the amygdala, calculating effective connection strength values from the dorsolateral prefrontal cortex to the amygdala, functional connection values between the dorsolateral prefrontal cortex and the amygdala, recording behavioral response time indicators of the subject to the threatening stimulus, and generating an individualized stimulation scheme according to the above three indicators through a dynamic grading control algorithm; a transcranial direct current stimulation intervention module, which applies electrical stimulation to the target brain area according to the individualized stimulation scheme; and a central control and data processing module, which is connected with the above two modules respectively and is used for coordinating the work flow. The present application improves the accuracy and individualization level of intervention.

The invention provides a cerebellum transcranial direct current stimulation (tDCS) curative effect accurate evaluation method based on multi-modal magnetic resonance data, which comprises the following steps: step 1, performing cerebellum tDCS treatment on a stroke patient, and collecting diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI) multi-modal data before and after treatment; step 2, probabilistic fiber tracking is carried out on DTI data before and after treatment to reconstruct cerebellum-thalamus-cortex and cortex-cerebral bridge-cerebellum fiber bundles, and structural connection characteristics of the fiber bundles are quantified based on anisotropic score values; step 3, performing functional connection analysis on the cerebellum and the skin texture interest area on the fMRI data before and after treatment, and quantifying functional connection characteristics based on a functional connection value; and step 4, comparing the change of the structure and function connection characteristics before and after treatment, and evaluating the treatment effect of the cerebellar tDCS. According to the method, subjective limitation of scale evaluation is made up by applying multi-mode magnetic resonance data analysis, so that accurate evaluation of the cerebellar tDCS curative effect is realized.

The application discloses a high-precision transcranial direct current stimulation device based on a navigation system and relates to the technical field of electric digital data processing. In the method, a brain electric data acquisition module of the high-precision transcranial direct current stimulation device first acquires brain electric data of a subject, and then a functional network analysis module performs spectrum analysis and functional connection analysis on the data. After the high-precision transcranial direct current stimulation device compares the two analysis results with standard data of the same age group, abnormal functional sub-networks are identified, and a deviation degree is quantified. A navigation positioning module determines multi-target point stimulation positions based on an individual three-dimensional navigation model and the identified abnormal sub-networks, thereby improving the spatial accuracy of the multi-target point transcranial direct current stimulation positions. A transcranial direct current stimulation scheme generation module takes the age, the deviation degree and the multi-target point positions as input features, generates a personalized collaborative stimulation scheme through a machine learning model, and improves the accuracy of current parameter combinations corresponding to electrode layout schemes for different individuals in the transcranial direct current stimulation.

The present invention discloses a real-time evaluation method for the effect of transcranial direct current intervention stimulation, which specifically relates to the field of transcranial direct current effect evaluation, including: collecting multi-channel brain nerve electrical signals from a set cerebral cortex area, calculating its complexity change using multi-scale entropy, and establishing a complexity change time series before and after transcranial direct current intervention stimulation. Synchronously collecting nerve reflex signals from a set spinal cord segment, extracting high-frequency energy density time series using fast Fourier transform, establishing brain-spinal cord cross-regional neural signal association, and calculating the trend correlation of feature changes. Extracting brain nerve electrical signals and spinal cord reflex signals within a set frequency domain range, converting them into instantaneous phase expressions, calculating the frequency locking ratio through phase difference, and forming a phase synchronization time series. Mapping the phase synchronization time series to a high-dimensional space, combining the geometric characteristics of phase synchronization and trend correlation, and comprehensively calculating the evaluation value of the transcranial direct current intervention stimulation effect.

This invention relates to the fields of medical devices and neuromodulation technology, and discloses a transcranial electrical stimulation intervention system and method for anxiety disorders based on functional magnetic resonance imaging (fMRI). The system includes: a brain functional imaging analysis module, used to acquire fMRI data of subjects performing a task involving attentional bias towards threatening stimuli, extracting BOLD time series of the dorsolateral prefrontal cortex and amygdala, calculating the effective connectivity strength value from the dorsolateral prefrontal cortex to the amygdala, the functional connectivity value between the dorsolateral prefrontal cortex and the amygdala, recording the subject's behavioral response time index to threatening stimuli, and generating an individualized stimulation plan based on the above three indicators using a dynamic hierarchical control algorithm; a transcranial direct current stimulation intervention module, which applies electrical stimulation to the target brain region according to the individualized stimulation plan; and a central control and data processing module, connected to the first two modules respectively, for coordinating the workflow. This invention improves the accuracy and individualization of intervention.

This invention discloses a Fresnel intracranial ultrasound focusing device and method based on microwave-induced acoustics. It combines the principle of microwave acoustics with the focusing technology of multilayer Fresnel microfluidic wavebands to form a Fresnel intracranial ultrasound focusing technique. The device includes a microwave and ultrasound generation module, an ultrasound signal acquisition system, and an image processing and analysis module. This device and method utilize microwave excitation of implanted Fresnel microfluidic wavebands to achieve focused, variable-focus, and adjustable-intensity ultrasound waves in deep brain tissue. Compared with traditional transcranial focused ultrasound and transcranial direct current stimulation techniques, this invention features deep penetration, variable focus, adjustable intensity, high-efficiency excitation, biocompatibility, and low cost, and has significant potential application value in fields such as neuromodulation and precise drug delivery.

The invention discloses a high-precision transcranial direct current stimulation device based on a navigation system, and relates to the technical field of electric digital data processing. In the method, an electroencephalogram data acquisition module in the high-precision transcranial direct-current stimulation device firstly acquires electroencephalogram data of a subject, a functional network analysis module immediately performs spectral analysis and functional connection analysis on the data, and the device compares the two analysis results with standard data of the same age group and then determines whether the subject is in the same age group. And identifying the abnormal function sub-network and quantifying the deviation degree. The navigation positioning module determines a multi-target stimulation position based on an individual three-dimensional navigation model and the identified abnormal sub-network, and the spatial accuracy of the multi-target transcranial direct current stimulation position is improved. The transcranial direct current stimulation scheme generation module takes the age, the deviation degree and the multi-target position as input characteristics, generates a personalized collaborative stimulation scheme through a machine learning model, and improves the accuracy of current parameter combinations corresponding to electrode layout schemes for different individuals in transcranial direct current stimulation.

The invention discloses an electroencephalogram slow wave real-time feedback transcranial electrical stimulation method and system based on deep learning, and relates to the field of neural regulation and deep learning cross technologies, and the method comprises the steps: collecting an electroencephalogram signal of a target object, and carrying out the preprocessing of the electroencephalogram signal, and obtaining a preprocessed electroencephalogram signal; inputting the preprocessed electroencephalogram signal into a pre-constructed deep learning model for analysis, and obtaining a patent representation representing an electroencephalogram slow wave dynamic state; wherein the deep learning model is obtained through collaborative training of three types of self-supervised targets, namely, fusion self-prediction characterization, unsupervised target condition reinforcement learning and inverse dynamics modeling; transcranial electrical stimulation parameters are generated based on the latent characterization decision, and the stimulation parameters at least comprise a stimulation type, stimulation intensity and stimulation frequency; and outputting corresponding transcranial direct current stimulation or transcranial alternating current stimulation to a specific brain region of the target object according to the transcranial electrical stimulation parameters.

The invention relates to a cognitive load real-time regulation and control method and device, electronic equipment and a storage medium. The method comprises the following steps: carrying out a preset high cognitive load induction experiment on a preset number of testees, and collecting electroencephalogram data of the testees; establishing a cognitive load monitoring model, identifying a high cognitive load state based on the cognitive load monitoring model, and generating a model identification result; outputting the model identification result to a transcranial electrical stimulation control code; a transcranial electrical stimulation control code is operated after the high cognitive load identification tag is received; regulating and controlling transcranial direct current stimulation nerves based on the transcranial electrical stimulation control code; if the recognition result output of the cognitive load monitoring model is in a low-load state, the transcranial direct current stimulation regulation takes effect. The cognitive load condition can be effectively monitored in real time, real-time regulation and control are performed through transcranial electrical stimulation, the cognitive state is improved, the cognitive load level is controlled, and good operation performance is improved or maintained.

The headache therapeutic apparatus comprises a forehead part, a plurality of peripheral stimulation electrodes are integrated on the surface of the forehead part, and the peripheral stimulation electrodes comprise an ear temporal nerve stimulation electrode, a zygomatic temporal nerve stimulation electrode and an on-orbit and on-tackle nerve stimulation electrode; an electrode sliding rail is arranged on the surface of the head top component, and a Cz point position electrode and an Oz point position electrode are arranged on the electrode sliding rail in a sliding mode; a large occipital nerve stimulation electrode and a small occipital nerve stimulation electrode are integrated on the surface of the inner side of the head rear part; and the processing module is used for selecting and executing different treatment sequences according to the acquired biomarker signals, controlling the peripheral stimulation electrode and the central stimulation electrode to switch between a transcranial direct current stimulation mode and a transcutaneous nerve electrical stimulation mode, and adjusting stimulation parameters to realize time sequence collaborative treatment. According to the headache therapeutic apparatus, multiple groups of electrodes aiming at different nerve targets of the center and the periphery are integrated, stimulation targets and stimulation modes can be selected according to different pathological mechanisms, and the problem of center and periphery collaborative stimulation is solved.