107 results about "Cerebral cortex" patented technology

The invention belongs to the field of electroencephalogram signal processing, and provides a time-frequency space electroencephalogram emotion recognition method based on three-dimensional space position embedding, which comprises the following steps of: firstly, constructing a three-dimensional electrode space position matrix based on an international 10-20 system standard, determining a space adjacency relation between electrodes, and calculating a phase locking value to obtain a functional connection matrix; then, deep feature fusion of an electrode spatial position matrix and a functional connection matrix is realized by adopting a hierarchical cross Transform architecture, the spatial position matrix represents spatial distribution features of a cerebral cortex region, and the functional connection matrix quantifies phase synchronization features of cross-brain region neural oscillation and simulates a brain spatial topological structure; and finally, extracting time, frequency and spatial features of the electroencephalogram signals through combination of a graph attention network and bidirectional long-short-term memory with an attention mechanism for emotion recognition. The method can effectively extract space structure information highly related to the emotional state, and significantly improves the accuracy of emotion recognition.

The invention discloses a brain region correlation analysis system and method for autistic children. The system comprises a brain region division module used for dividing the cerebral cortex into a plurality of brain regions; the training data set construction module is used for constructing a training data set, and each training sample comprises a sensor space function connection matrix and a source space function connection matrix corresponding to the sensor space function connection matrix; the signal preprocessing module is used for acquiring a real electroencephalogram signal and calculating a real value of a corresponding sensor space function connection matrix; the deep learning mapping module is used for learning a mapping relation from the sensor space function connection matrix to the source space function connection matrix and outputting a predicted value of the source space function connection matrix; and the brain region correlation analysis module is used for calculating the correlation between the brain regions. The method can be used for accurately analyzing the correlation between the brain areas of the autism children.

The invention provides a hand rehabilitation training glove and system based on electromyographic signal guidance and pressure feedback, and the glove comprises a flexible glove main body which is made of an elastic material, is designed to fit the anatomical structure of a human hand, and is used for collecting bioelectrical signals generated by the remaining hand and forearm muscles of a patient when the patient actively intends to generate power; the embedded signal processing module is used for carrying out amplification, filtering, noise reduction and analog-to-digital conversion processing on the collected original electromyographic signals; and the main control unit is used for calculating time domain and frequency domain characteristic values of the electromyographic signals and identifying the motion intention of the patient based on a preset threshold value or an adaptive algorithm. Weak electromyographic signals are collected and processed in a high-precision mode and immediately converted into local touch pressure feedback corresponding to the functions of the weak electromyographic signals, neural pathway connection between the cerebral cortex and target muscles is enhanced, training interestingness and immersion and compliance of a patient are remarkably improved, and the training effect is improved. And key power is provided for continuous long-term rehabilitation training.

A Bifidobacterium animalis subsp. lactis for reducing Abeta42 deposition and an application, a name of the Bifidobacterium animalis subsp. lactis is Bifidobacterium animalis subsp. lactis IOB-LO7, and classified as Bifidobacterium animalis subsp. lactis, the Bifidobacterium animalis subsp. lactis IOB-LO7 is preserved in the General Microbiology Center of the China General Microbiological Culture Collection Center (CGMCC) on Dec. 23, 2021, with the collection number of CGMCC No. 24185. By reducing the levels of Aβ42 in the cerebral cortex and hippocampus, clearing Aβ amyloid plaques, improving communication between neurons, reducing brain neuroinflammation, and protecting nerve cells, it helps to restore cognitive function and improve Alzheimer's disease. Additionally, it can also improve gut microbiota imbalance caused by Alzheimer's disease.

The invention discloses a cerebral cortex stimulation central nervous regulation system and method based on a pulse magnetic coil, and the system comprises a pulse magnetic stimulation module, a neural signal collection module, a central control module and a man-machine interaction module, and is additionally provided with a three-dimensional positioning module and a multi-level safety monitoring module. The pulse magnetic stimulation module generates a focused pulse magnetic field, the neural signal acquisition module acquires multi-brain-region electric signals, and the central control module dynamically regulates stimulation parameters after analyzing the signals to form closed-loop regulation; the three-dimensional positioning module ensures accurate positioning of the coil, the safety monitoring module monitors parameters in real time and triggers emergency protection, and the man-machine interaction module realizes convenient operation and data management. According to the method, adjustment is completed through initialization, signal acquisition and analysis, precise stimulation, positioning adjustment and safety monitoring. The scheme is non-invasive, accurate, safe and suitable for nerve research and disease treatment, the regulation effect and use safety are improved, and development of the nerve regulation technology is promoted.

The invention discloses a magnetoencephalogram-based epilepsy lesion positioning method and system and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the preprocessing of a structure image of a patient, carrying out the registration with the magnetoencephalogram of the patient, carrying out the grid division of a cerebral cortex region based on the preprocessed structure image and a registration result, and obtaining a forward model of the patient; performing preprocessing and spine wave detection on the magnetoencephalogram to obtain a spine wave time point sequence; based on the forward model and the ratchet wave time point sequence, using a magnetic dipole algorithm to calculate a source coordinate and a source direction of a ratchet wave time point, and classifying the ratchet wave time point sequence according to the source coordinate and the source direction to obtain a clustering result; calculating the source coordinate and the source direction of the class center of each class in the clustering result by using a magnetic dipole algorithm; generating a clinical report of the patient; according to the positioning method, the problems of large epilepsy diagnosis difference and error proneness caused by level difference of different doctors are solved, and the epilepsy focus position can be quickly determined.

The invention relates to an integrated flexible corticobrain electrode and a preparation method thereof.The flexible corticobrain electrode is composed of a flexible substrate layer, a wire layer and an insulating layer which are sequentially arranged in a stacked mode, the wire layer comprises an electrode contact array, a bonding pad contact array and a wire set, and the wire set spirally surrounds the electrode contact array; the bonding pad contact array is located on the outer side of the wire group; the electrode contact array and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a signal acquisition electrode, the wire group and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a connecting wire, and the bonding pad contact array and the flexible substrate layer and the insulating layer which correspond to each other up and down jointly form a bonding pad. The integrated flexible cortical brain electrode has the advantages of being small in size, high in flexibility and large in flux, in the using process, the signal collecting electrode can be better attached to a cerebral cortex collecting site, the problems of brain tissue damage and connection failure cannot occur, and the integrated flexible cortical brain electrode is friendly to experimental surgery operation.

The application discloses a new use of Leonurine or a pharmaceutically acceptable salt thereof in the preparation of a medicament for treating radiation-induced brain injury, specifically, providing a safe and effective therapeutic drug for iron death, neuroinflammation, neuron damage and lipid metabolism disorder accompanying the radiation-induced brain injury, solving the technical problem of lack of specific treatment means in the prior art, and having a wide clinical application prospect. Experiments adopt a C57BL / c mouse 30 Gy whole brain X-ray radiation model, and results show that Leonurine can significantly improve the body weight decrease and survival rate of the model mice, reduce the serum IL-6 and IFN-alpha levels, inhibit the activation of microglial cells in the cerebral cortex and hippocampus, protect and repair damaged neurons, and improve the ultrastructure of mitochondria and synapses; meanwhile, the expression of GPX4 and SLC7A11 proteins in the brain tissue is up-regulated, the GSH content is increased to inhibit iron death, and the levels of GPE, GPS and GPC related to lipid metabolism are restored.

The invention discloses a brain tumor real-time identification system and method based on cortical electroencephalogram signals, and relates to the technical field of medical artificial intelligence, and the method comprises the following steps: obtaining multi-channel ECoG signals in real time; the multi-channel ECoG signals are updated in real time, the multi-channel ECoG signals updated in real time are preprocessed, and the preprocessed multi-channel ECoG signals are obtained; performing channel feature extraction on the ECoG signal of each channel to obtain various ECoG signal features under each channel as channel features; calculating segmentation thresholds of different channel characteristics under each channel based on an automatic threshold segmentation algorithm; carrying out confidence evaluation on the segmentation threshold values of different channel characteristics under each channel; and marking the channel of which the confidence coefficient is smaller than a set tumor marking threshold value as a tumor area. Accurate positioning of a tumor area can be achieved, functional state changes of the cerebral cortex can be reflected in real time, and doctors can conveniently master real-time changes of cortex functions in time.

The invention relates to a brain-computer interface system which comprises a flexible electrode array, a receiving device, a flexible connecting wire and external equipment, wherein the flexible electrode array is implanted into a meninx middle artery in a minimally invasive manner through a superficial temporal artery puncture and a vascular intervention procedure; the receiving device is embedded under the skin of a head and is provided with a signal transmitter; the external equipment is provided with a signal receiver. A flexible electrode array is implanted in an anterior branch or posterior branch of a main branch of a middle meninx artery through a superficial temporal artery intravascular minimally invasive technology, the number of electrodes and the array are arranged according to needs, and a receiving device buried in the subcutaneous part of the head is electrically connected with the flexible electrode array implanted in the middle meninx artery. Craniotomy is not needed, operative complications are avoided, minimally invasive implantation reaches the surface of the cerebral cortex, operation of a doctor is easier, the operation time is shortened, and the comfort level of a patient is improved.

A cerebral cortex model-based simplicial network for diagnosing mental disorder is disclosed. A cerebral cortex model-based method for diagnosing mental disorder performed by a mental disorder diagnosis system, according to one embodiment, may comprise the steps of: modeling a cerebral cortex mesh as a cerebral cortex simplicial complex; and performing message passing for diagnosing a mental disorder using relationship information of the modeled cerebral cortex simplicial complex through a message passing neural network.

The invention discloses a cerebral cortex penetrator small blood vessel magnetic resonance imaging method based on an inflow enhancement effect. The method comprises the following steps: modeling a penetrator small blood vessel to generate a blood vessel TOF (Time of Flight) image; calculating the blood vessel-grey matter contrast ratio of the blood vessel TOF image under different FAs and different TRs, and optimizing the FAs and the TRs according to the blood vessel-tissue contrast ratio; obtaining a structural image of the in-vivo brain tissue, performing cortex reconstruction, and calculating an angle of a surface normal of each cortex vertex relative to the B0 field to obtain a cortex angle graph; adjusting a single-layer blood vessel scanning plane angle according to the cortex angle diagram; and according to the optimized FA and TR and the single-layer blood vessel scanning plane angle determined in the step S4, carrying out magnetic resonance imaging on the cerebral cortex perforation small blood vessel. The invention further discloses a cerebral cortex puncturing small blood vessel magnetic resonance imaging device based on the inflow enhancement effect. According to the method and the device, magnetic resonance imaging of the cerebral cortex perforation small blood vessel can be realized under the non-invasive and contrast-agent-free conditions.

The invention relates to a cerebral cortex metabolism visualization method and system. The method comprises the steps of obtaining a first functional image and a structure image of the brain of a target patient; based on the target neural network model, performing denoising processing on the first functional image to obtain a second functional image; wherein the target neural network model is obtained by training an initial neural network model based on a sample set, the sample set comprises multiple groups of samples, and each group of samples comprises a first functional image sample and a structure image sample of the brain of a sample patient; generating a three-dimensional grid model of the cerebral cortex according to the structure image; and mapping the metabolic information in the second functional image into the three-dimensional grid model, and visualizing the metabolic information in the three-dimensional grid model. By adopting the method, accurate correspondence and visual fusion expression of the brain anatomical structure information and metabolism information of the target patient can be realized, and the observation efficiency of a doctor is improved.

1. Name of the product in this design: Flash Stimulator. 2. Purpose of this design: To serve as an auxiliary diagnostic device in the field of neurology that induces abnormal electrical discharges in the cerebral cortex through light-sensing input from the visual system. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D rendering 1.

The invention provides a cerebral cortex thickness measurement method and system based on a level set image segmentation algorithm, and belongs to the technical field of neural image analysis, and the method comprises the steps: obtaining a brain magnetic resonance imaging image, and carrying out the skull stripping processing; performing three-dimensional visualization on the stripped image through volume rendering, and acquiring three-dimensional coordinates of points of interest and a region of interest on the surface of the cortex by using a preset interaction means; using a level set method to carry out brain grey matter and brain white matter segmentation on the region of interest to obtain a brain grey matter segmentation layer and a brain white matter segmentation layer, and storing three-dimensional coordinate data of points in the segmentation layers; calculating the minimum Euclidean distance according to the three-dimensional coordinate data of the points in the segmentation layer and the three-dimensional coordinates of the points of interest to obtain the cortex thickness of the points of interest; the method solves the problems that the existing cerebral cortex thickness measurement lacks a visual means, is not supported by a mathematical model, cannot be accurate to the thickness of an interest point, and cannot display and retain comprehensive information.

The invention discloses a gradient tuning type excitation coil structure and system for biological electromagnetic stimulation, and relates to the technical field of biological electromagnetic stimulation. The coil structure comprises a plurality of layers of 8-shaped stimulation coils which are horizontally placed above a biological electromagnetic stimulation target area, the inner diameter of each layer of 8-shaped stimulation coil is gradually increased layer by layer from bottom to top, and two coil units in each layer of 8-shaped stimulation coil are bilaterally symmetrical. The multi-layer 8-shaped stimulation coil is used for accessing excitation current through the discharge circuit so as to play a biological electromagnetic stimulation role on a target area, so that the focusing performance of the target area can be remarkably improved on the premise of not losing much induced electric field intensity through gradually increasing the inner diameters of the coils from bottom to top layer by layer, and the focusing performance of the target area is improved. Parts of hidden dangers caused by too large focusing area are eliminated, high electric field intensity is generated at the cerebral cortex, effectiveness of brain stimulation is guaranteed, and practical application and popularization are facilitated.

The application discloses a kind of implanted nerve electrode devices of magnetic control telescopic contact and separation cerebral cortex, belong to brain signal research technical field.It includes: flexible substrate, magnetostrictive deformation substrate, magnetostrictive film, elastic component and electrode;The flexible substrate side is provided with several rectangular grooves arranged in order;Two pieces of the magnetostrictive film are pasted to the two sides of the magnetostrictive deformation substrate, and the magnetostrictive film on one side is used to fix the magnetostrictive deformation substrate in the rectangular groove of the flexible substrate;The electrode is fixed on the magnetostrictive deformation substrate, for collecting electroencephalogram;The elastic component is used to pull the deformed magnetostrictive deformation substrate to restore flat state.The device is fixed under dura mater, and can be bent under the drive of magnetic field, realizes the effective contact of nerve electrode and cerebral cortex, compared with traditional semi-invasive nerve electrode, improves the detection quality and stability of electroencephalogram.

The application discloses a kind of single-photon counting circuit and detection device based on time-domain near infrared spectrum, circuit includes: pulse light module, for generating near infrared light to cerebral cortex tissue is irradiated;Light signal receiving amplification module, for receiving after the light signal of diffusion absorption of the cerebral cortex tissue, after amplification conversion into electrical signal;Single-photon counting module, including counting window generation unit and D flip-flop one, for in the counting window of generation, through D flip-flop one output electrical signal's counting waveform;Control module, including counter, for receiving electrical signal's counting waveform, and according to counting waveform carries out counting, generates histogram.The single-photon counting circuit of time-domain near infrared brain function imaging disclosed in the application is low in cost, simple in structure, high in integration, and can effectively solve the shortcomings of existing timing instrument, such as complexity and high cost, and the limitation brought by conversion time.

The invention relates to a reversible adhesive flexible electrode material based on zinc ion activation, which is characterized in that polydimethylsiloxane is used as a main chain, and functionalization capable of responding to metal ions is realized through sulfydryl-alkene click reaction and subsequent imidazolation modification. The invention also provides a preparation method and application of the electrode material. The elastomer material disclosed by the invention has remarkably enhanced adhesive force, and can be stably attached to the surfaces of soft tissues such as cerebral cortex and spinal cord; under the action of Zn or after a competitive ligand is introduced, the adhesive force is reduced, and mild stripping is realized. The material is simple in preparation process and excellent in biocompatibility, can be used for constructing a large-area flexible electrode, is suitable for acute and chronic nerve electrophysiological signal acquisition, and is particularly suitable for epilepsy lesion positioning and brain function research.

The utility model relates to the technical field of fixing devices, in particular to an integrated fixing device for manufacturing rodent pathological sections, which comprises a fixing device shell and a fixing device cover plate which are rotatably connected. The fixing device comprises a fixing device shell, a plurality of brain cutting clamping grooves are formed in the periphery of the fixing device shell, brain clamping grooves are formed in the bottom of the fixing device shell, the brain clamping grooves comprise a cerebellum fixing groove, a brain fixing groove and an olfactory bulb fixing groove, and the cerebellum fixing groove, the brain fixing groove and the olfactory bulb fixing groove are integrated. The closed fixing groove can be adopted, formalin volatilization is reduced, the brain tissue fixing function and the material taking function are integrated, and the operation process is simplified.

The application belongs to the technical field of disease treatment devices, and relates to a transcranial magnetic stimulation individualized target point determination system, which comprises an individualized brain network construction module, a neural circuit selection module, a comparison module and a target point determination module; the individualized brain network construction module is used for establishing individualized brain networks of patients according to brain electrical data of the patients; the neural circuit selection module is used for selecting a neural circuit from the individualized brain networks of the patients; the comparison module is used for comparing the neural circuit with a normal value range to determine abnormal points; and the target point determination module is used for corresponding the abnormal points to cerebral cortex target points and determining individualized target point positions. The individualized algorithm is adopted, individualized differences of the patients are fully considered, and target point selection is not limited to the dorsolateral prefrontal cortex, so that more possibilities are provided for clinical treatment.

The invention discloses a training method and a recognition method of a brain morphological network analysis model, and the training method comprises the steps: carrying out the brain network construction of a normal cerebral cortex image set and an abnormal cerebral cortex image set, and obtaining a first brain morphological network group and a second brain morphological network group; performing inter-group network redundancy analysis on the first brain morphological network group and the second brain morphological network group to obtain a first node feature set; performing inter-group long and short distance information analysis on the first brain morphological network group and the second brain morphological network group to obtain a second node feature set; and according to the first node feature set and / or the second node feature set, performing parameter updating on the initialized brain morphological network analysis model to obtain a trained brain morphological network analysis model. According to the training method, a brain morphological network analysis model can be provided, and the accuracy and interpretability of brain morphological network analysis can be improved. The invention relates to the technical field of image processing.

The invention relates to the technical field of neural electrodes, in particular to a magnetic drive gel type ECOG electrode based on a skull patch and a preparation and packaging method thereof, and the electrode comprises a skull patch unit, a flexible sensing circuit and a gel type sensing unit; a magnetic nano material is coupled in the gel type sensing unit, and the gel type sensing unit is driven by an external magnet to move to a target area on the surface of the cerebral cortex for signal acquisition; the flexible sensing circuit comprises an insulating layer and a sensing layer which are coaxially coupled; the two ends of the flexible sensing circuit are embedded into the skull patch unit and the gel type sensing unit respectively, and bonding sites and recording sites are exposed on the surfaces of the skull patch unit and the gel type sensing unit respectively. The manufacturing problems that a traditional preparation technology is incompatible with a gel material with high water content and the preparation and packaging process is complex are solved, and the problems that when an ECOG electrode is used for large-range multi-brain-region monitoring, the surgical wound surface is large, inflammatory response is likely to be induced, and the postoperative rehabilitation effect is poor are solved.

A brain-controlled unmanned aerial vehicle method and system based on SSVEP, the brain-controlled unmanned aerial vehicle method comprising: dividing a visual stimulator into a plurality of independent areas, each independent area corresponding to each action direction of an unmanned aerial vehicle, each independent area flickering and stimulating square blocks at different frequencies; sequentially observing the stimulation square blocks of each independent area to enable the brain occipital area to generate a plurality of different electroencephalogram signals; collecting a plurality of different electroencephalogram signals and converting the electroencephalogram signals into digital signals; the digital signals are extracted and classified, and control instructions of all action directions of the unmanned aerial vehicle are generated; and observing the stimulation blocks corresponding to the independent areas according to the control instruction, and controlling the unmanned aerial vehicle to move according to the control instruction. According to the design, a plurality of different electroencephalogram signals are generated by the cerebral cortex by observing the stimulation square blocks with different frequencies, the electroencephalogram signals are converted into the control instructions of the unmanned aerial vehicle, the unmanned aerial vehicle can be controlled to move in the specified direction only by observing the corresponding stimulation square blocks, and the control precision is high.

Magnetic field generating means (2) is disposed on a scalp (1) of a subject (P) and generates a magnetic field that is radiated from a north pole, passes through a cerebral cortex (3) of the subject (P) and returns to a south pole in a loop path. Magnetic field detecting means (5) is disposed on the scalp (1) and detects a change in the magnetic field (4) as a signal reflecting an activity status of the cerebral cortex (3).

This invention discloses a device for evaluating the therapeutic effect of sleep modulation based on cortical brain energy. It utilizes an EEG acquisition system to obtain EEG and electrooculography (EOG) data of sleep following both true and false stimulation. Independent component analysis (ICA) is used to preprocess the acquired data to filter out signal artifacts. Brain energy imaging is used to calculate the distribution of neural activity and extract the time series of sleep-related cortical brain energy. The YASA algorithm is used to segment sleep based on the time series of sleep-related cortical brain energy and the EOG data, and the difference in sleep efficiency after true and false stimulation is calculated. A correlation model between stimulation parameters and the difference in sleep efficiency is established. The device includes a data acquisition module and a processing module. This invention provides a scientific basis for evaluating the therapeutic effect of sleep modulation and is of great significance for the optimal selection of stimulation parameters, which can improve the therapeutic effect of sleep modulation.

The invention belongs to the technical field of postoperative rehabilitation, and particularly relates to a brain postoperative rehabilitation training nursing device which comprises a frame, universal wheels are arranged at the bottom of the frame, a rear fixing plate is arranged on one side of the frame, an upper limb training device is arranged on the upper side of the rear fixing plate, a lower limb training device is arranged on one side of the rear fixing plate, and a main controller is arranged on the rear fixing plate. The upper limb training device is electrically connected with the lower limb training device, and the upper limb training device and the lower limb training device are both electrically connected with the main controller; according to the invention, training of upper and lower limbs is integrated, a patient is forced to do coordinated movement through an electric control system, a natural movement mode of a human body is met, daily life actions are simulated, and cerebral cortex functional recombination and neural network reconstruction can be more effectively stimulated.

The application relates to a magnetoencephalography device and a method for registering the magnetoencephalography device and MRI, and belongs to the field of magnetoencephalography research. The method comprises the following steps: acquiring a head image of a subject wearing a magnetoencephalography device; point cloudizing the head image of the subject to obtain a scene point cloud; performing corresponding point clustering processing on the scene point cloud and a marker module model point cloud, identifying the marker module, and determining the position coordinates of the marker module; determining the sensor probe position according to the position coordinates and the relative position relationship between the marker module and the sensor array; acquiring a three-dimensional MRI image of the head of the subject, and separating the three-dimensional MRI image into a scalp three-dimensional image and a cerebral cortex anatomical structure; extracting an MRI facial image according to the scalp three-dimensional image; and registering the MRI facial image and the head image of the subject based on the sensor probe position, so that the sensor array and the cerebral cortex anatomical structure are in a unified coordinate system. The method improves the accuracy of registration.

The invention provides a semi-intrusive brain-computer interface device, which belongs to the technical field of brain-computer interfaces, and comprises an electroencephalogram signal acquisition unit, a signal processing unit, a decoding unit, a control interface unit and an external equipment unit which are electrically connected in sequence, the electroencephalogram signal acquisition unit adopts a flexible electrode structure, is configured to be implanted into a cranial cavity, does not penetrate through the cerebral cortex and is used for acquiring a cortex electroencephalogram signal; the signal processing unit is used for filtering, amplifying and digitally processing the electroencephalogram signals; the decoding unit is used for classifying and identifying the electroencephalogram signals; and the control interface unit supports a multi-mode interface. According to the invention, a semi-intrusive design is adopted, the invasiveness and safety are balanced, the full-intrusive rejection risk is also avoided, compared with a non-intrusive design, the signal analysis precision is improved, neural features of different patients are adapted in a personalized manner, fine regulation and control of an object track and force in a complex three-dimensional environment are realized, and the control limitation of a traditional system is solved.

The invention relates to a target spot optimization method, system and device and a storage medium. The method comprises the steps of obtaining a target device model; acquiring a head model of the detected object, and determining a target intervention target area on the head model; calculating cerebral cortex induced electric field intensity on the target intervention target spot area when the target equipment is in different poses; and taking the pose of the target equipment when the cerebral cortex induced electric field is optimal as the target pose of the target equipment. A head model of a detected object is acquired, a target intervention target area of the detected object on the head model is determined, so that target equipment can accurately determine a brain area, needing to be intervened, of the detected object, and cerebral cortex induced electric field intensities under different poses on the target intervention target area are calculated through simulation; and the treatment effect of target intervention is improved according to the obtained optimal placement pose of the target equipment.