126 results about "Cerebral cortex part" 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 provides a transcranial deep electrical stimulation closed-loop regulation and control system and method based on fNIRS dynamic guidance. The method comprises the steps that a transcranial alternating current electrical stimulation module applies an electrical signal to a target deep brain region according to preset parameters to carry out electrical stimulation regulation and control; the synchronous triggering module is used for realizing millisecond-level synchronization of a stimulation task and near-infrared brain function data acquisition; the brain function monitoring module analyzes the concentration change of cortex oxyhemoglobin in real time through the multi-channel head cap; the electrical stimulation-response coupling mapping module positions a significant activation channel by adopting statistical test, and establishes an oxyhemoglobin concentration variable and electrical stimulation current amplitude quantitative model; and the dynamic parameter adjusting module optimizes the output current in real time. Personalized closed-loop regulation and control of non-invasive deep brain stimulation can be achieved, cerebral cortex blood oxygen signals are monitored in real time through near-infrared brain function imaging, stimulation parameters are dynamically adjusted, and the accuracy and individualization level of deep brain stimulation are remarkably improved.

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.

The invention provides a self-adaptive cerebral cortex reconstruction system, method and device based on deep learning and a medium, and the reconstruction system comprises an image preprocessing module which is used for preprocessing input MRI image data to obtain a real curvature image, a real brain tissue segmentation image and a real cerebral cortex; the three-stage grid deformation module is connected with the image preprocessing module; the three-stage grid deformation module comprises three continuous grid deformation modules, and each stage of grid deformation module comprises a deformation model and a physical deformation module; the deformation model is used for predicting a curvature perception static velocity field and a curvature graph; and the physical deformation module calculates differential mapping for each vertex position from the curvature sensing static velocity field so as to generate and obtain a final cerebral cortex surface, so that the accuracy and the efficiency of cerebral cortex reconstruction can be remarkably improved.

The invention discloses an implantable neural electrode device separated from the cerebral cortex through magnetic control telescopic contact, and belongs to the technical field of brain signal research. Comprising a flexible substrate, a magnetostrictive deformation substrate, a magnetostrictive deformation film, an elastic component and an electrode, a plurality of rectangular grooves which are arranged in order are formed in one side of the flexible substrate; the two magnetostrictive deformation films are attached to the two sides of the magnetostrictive deformation substrate respectively, and the magnetostrictive deformation film on one side is used for fixing the magnetostrictive deformation substrate in the rectangular groove of the flexible substrate; the electrode is fixed on the magnetic deformation substrate and is used for acquiring an electroencephalogram signal; and the elastic assembly is used for pulling the deformed magnetic deformation substrate to recover to a plane state. The device is fixed under the dura mater and can be bent under the drive of a magnetic field, effective contact between the neural electrode and the cerebral cortex is achieved, and compared with a traditional semi-intrusive neural electrode, the detection quality and stability of electroencephalogram signals are improved.

The invention relates to the field of ultrasonic sleep aiding, and provides an ultrasonic-infrasound coupled sound wave whole-brain sleep regulation and control method and device. The whole-brain sleep regulation and control method based on the ultrasound-infrasound coupling sound waves comprises the steps that electroencephalogram signals of a user are collected through electroencephalogram collection equipment; physiological parameters of the user are obtained through physiological state monitoring equipment; a control device is adopted to control and adjust the fundamental frequency, pulse width, pulse repetition frequency, difference frequency, intensity and other parameters of two columns of ultrasonic waves generated by a sound wave emission device according to the electroencephalogram signals and the physiological parameters; a sound wave emitting device is adopted to generate and emit two columns of ultrasonic waves which are close in frequency and face to face, the two columns of ultrasonic waves are fed into the brain face to face, and the two columns of ultrasonic signals inhibit the cerebral cortex activity when passing through the cerebral cortex; meanwhile, interference occurs in the deep brain target nuclear region, low-frequency infrasound beat frequency waves are formed, electroencephalogram slow wave rhythm resonance is induced, sleep-related neural activities of the deep brain target nuclear region are synchronized, and coordinated regulation and control of the whole brain region are achieved.

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 invention provides a whole cerebral cortex nerve photoelectric information processing method and device under a memory mechanism. The method comprises the following steps: collecting whole cerebral cortex calcium imaging signals and hippocampus sharp ripple signals generated by an experimental animal aiming at each group of visual stimulation sequences; under the same time step, phase-locked correlation analysis is carried out on the whole cerebral cortex calcium imaging signal and the hippocampal sharp ripple signal to obtain a neural activity association relationship, and the neural activity association relationship comprises a corresponding relationship between different visual stimuli and different signal combinations. The neural photoelectric information incidence relation between the whole cerebral cortex and the deep brain nuclei under the memory mechanism can be analyzed in the visual cognition prediction process, namely visual prediction is carried out by analyzing the whole cerebral cortex activity and the hippocampus sharp ripple discharge, and a basis is provided for constructing a visual prediction model based on the neural activity incidence relation; the attention mechanism about the neural activity association relationship is added for constructing the visual prediction model, so that the visual prediction accuracy of the visual prediction model can be improved.

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 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.

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 provides an animal multi-dimensional state recognition system and method based on full-cortical neural activity, and the system comprises a stimulation generation module which is used for forming target stimulation under the condition that a stimulation generation instruction is received; the full cortical neuron imaging module is used for collecting full cortical nerve response change data generated by the experimental animal under the condition that the experimental animal receives target stimulation; the electroencephalogram signal acquisition module is used for acquiring an electrophysiological signal generated by an experimental animal under the condition that the experimental animal receives target stimulation; the response behavior detection module is used for collecting a physiological response motion state formed by the experimental animal under the condition that the experimental animal receives the target stimulation; and the synchronous recording and analyzing module is used for synchronously analyzing the whole cerebral cortex nerve response change data, the electrophysiological signal and the physiological response motion state to obtain causal association between the nerve activity and the response behavior of the experimental animal under target stimulation. Multi-dimensional state data corresponding to animal response behaviors are synchronously collected, and a foundation is laid for brain function research and analysis.

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 discloses a portable frequency-adjustable transcranial magnetic stimulation system and a stimulation method thereof. The system comprises an application program, a central control system and an intervention module, wherein the application program, the central control system and the intervention module are arranged in portable insomnia therapeutic equipment; the application program and the intervention module are both connected with the central control system. According to the invention, accurate matching with human body natural slow wave rhythm (Delta wave 1-4Hz and Theta wave 4-8Hz) is realized by releasing 1-8Hz Gamma low-frequency magnetic pulse waves capable of inhibiting excessive activity through control, slow wave synchronism is enhanced through frequency-phase resonance of magnetic field-neural oscillation, sleep is improved, and an instantaneous alternating magnetic field is generated to penetrate through skull to act on cerebral cortex, so that sleep quality is improved. Compared with a traditional medicine therapy, an invasive therapy and a non-invasive therapy, the side effect is smaller, the risk is lower, sleep can be further improved by playing soothing music, and the sleep neural circuit can be conveniently regulated and controlled at home to conveniently improve insomnia.

The present application relates to a method, device, electronic device and storage medium for generating a cerebral cortical morphological network, wherein the method comprises: obtaining a cerebral cortical reconstructed image of a target object; segmenting the cerebral cortical reconstructed image to obtain multiple target areas of the cerebral cortex and a vertex set of each target area; connecting the vertices in the vertex set of each target area to obtain a sub-network corresponding to each target area; determining the state of the target leaf node based on whether the target leaf node is adjacent to other leaf nodes; if the state of the target leaf node is a to-be-connected state, determining a connecting leaf node corresponding to the target leaf node; connecting the leaf nodes in the to-be-connected state in each sub-network to the corresponding connecting leaf nodes to generate a cerebral cortical morphological network of the target object. Through the present application, the problem of low efficiency in generating a cerebral cortical morphological network is solved, and the efficiency of generating a cerebral cortical morphological network is improved.

The utility model discloses a fixing device for conscious imaging of rodents, which belongs to the technical field of microscopic imaging and comprises a head fixing frame, and the head fixing frame comprises an auxiliary supporting component, a displacement mechanism and a head fixing device. The auxiliary supporting assembly is composed of a plurality of fixing rods and fixing pieces, and a head fixing device is arranged on the auxiliary supporting assembly and located over the rotating disc. One end of the auxiliary supporting assembly is provided with a displacement mechanism, and the upper end of the displacement mechanism is provided with an optical panel. The position of the head fixing device can be precisely adjusted, so that the head fixing device is located at a position suitable for microscope observation; the head of a rodent in a natural activity state can be fixed, and four limbs of the rodent are allowed to freely move under stress, so that huge body movement caused by conditions of stress, movement and the like can be eliminated when the rodent is fixed under the device after being trained; the physiological activities of the head, the face, the cerebral cortex and the like of the animal can be subjected to high-time and spatial-resolution image recording in a waking state and a sleeping state.

The invention discloses a digital word pulse coding method (DWSFE) and a digital word pulse coding system fusing space and frequency characteristics, which are used for text information processing of a pulse neural network (SNN). The method comprises the following steps: constructing two vocabulary vector space modeling methods, namely interval semantic division vector coding (SSPE) and continuous semantic division vector coding (CSPE), based on a cerebral cortex semantic partitioning principle in neuroscience; converting the semantic vector into a pulse sequence with frequency characteristics through variable intensity Poisson coding (VIPE); and designing an unsupervised clustering SNN architecture containing a lateral suppression mechanism. According to the method, efficient pulse coding of text information is achieved, 100% classification accuracy is achieved under 400-dimensional word vectors, and compared with a traditional word embedding method, the application performance of SNN is greatly improved. The invention provides a low-power-consumption text processing system suitable for a neuromorphic computing device.

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.

There are disclosed therapies and preventions of prion protein complex infections. The transcription of the amyloid precursor protein gene and PrP gene and the RNA transcript are the rate-limiting steps and are most susceptible for blockage and control of the process of amyloid protein formation and PrPsc formation. Thus, therapies and prevention regimes for prion protein complex infections interrupt this process at the level of DNA transcription to RNA, RNA transport to the mitochondrion for protein synthesis and deposition in the cerebral cortex neurons.

The application belongs to the technical field of neural network simulation and analog, and particularly relates to a large-scale cortex pulse neural network asynchronous parallel simulation algorithm based on GPU. The application utilizes the advantages of multi-thread and texture memory of a computing graphics card, combines the general form of a biological brain receiving external stimulation and the general connection mode between neurons in the cortex, designs an asynchronous parallel algorithm framework of GPU and CPU, GPU is responsible for parallel evolution of neuron dynamics equations and block parallel calculation of isotropic connection in a local network, CPU is responsible for processing anisotropic long-range connection, and different neuron dynamics equations and plasticity learning rules can be compatible. Compared with the prior art, the application can effectively improve simulation speed, provides a tool for simulating a biological brain cortex in a single computing node, and is suitable for a single node multi-graphics card and a multi-node multi-graphics card distributed operation model.

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 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.

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.