98 results about "Brain subcortex" patented technology

The invention comprises an elongated device adapted for insertion, including self-insertion, through the body, especially the skull. The device has at least one effector or sensor and is configured to permit implantation of multiple functional components through a single entry site into the skull by directing the components at different angles. The device may be used to provide electrical, magnetic, and other stimulation therapy to a patient's brain. The lengths of the effectors, sensors, and other components may completely traverse skull thickness (at a diagonal angle) to barely protrude through to the brain's cortex. The components may directly contact the brain's cortex, but from there their signals can be directed to targets deeper within the brain. Effector lengths are directly proportional to their battery size and ability to store charge. Therefore, longer angled electrode effectors not limited by skull thickness permit longer-lasting batteries which expand treatment options.

The invention relates to an opto-acoustic brain function imaging method. The method realizes imaging of brain blood vessel structure distribution observation and function monitoring via the opto-acoustic tomographic image of the cortex blood vessels. Brain damage and cerebral hemorrhage variation degree can be monitored, and the parameters such as cerebral blood flow, brain oxygen consumption and brain oxygen saturation etc can be reflected via the blood vessel form distribution, blood diameter variation and opto-acoustic signal intensity variation of blood vessels. The laser generation component, acoustic signal acquisition component and computer among the devices realizing the mentioned method are electrically connected in turn. The rotary scanning mechanism is electrically connected with the computer. The sample fixation components are connected with the acoustic coupling components in turn. The invention is characterized by convenient operation and sensitive and quick performance, can make imaging analysis of blood vessels without damage, and then monitor brain function, which can thus provide imaging basis for brain function judgment.

The invention provides a self-adaptive recommendation method and system for a rehabilitation training prescription based on deep reinforcement learning. The method comprises the following steps: 1) collecting basic information and medical record information of a patient; 2) acquiring cerebral cortex blood oxygen data of different brain regions of the patient and movement and myoelectricity data ofaffected limbs of the patient; 3) calculating brain function evaluation indexes during exercise and rehabilitation training of the patient by utilizing the brain blood oxygen data, and calculating exercise function evaluation indexes and muscle function evaluation indexes during exercise and rehabilitation training of the patient by utilizing the exercise data and the myoelectricity data so as todynamically evaluate the brain function, the exercise function and the muscle function of the patient; 4) inputting the brain function, motion function and muscle function evaluation indexes obtainedin the step 3) into a pre-established deep reinforcement learning model to train the deep reinforcement learning model and automatically generate a rehabilitation training prescription; and 5) feeding back the rehabilitation training prescription generated in the step 4) to a doctor and the patient for rehabilitation training. By means of the method and system, self-adaptive adjustment of the training prescription can be achieved.

The invention discloses an implementation method for identifying motion models based on cerebral-cortex hemoglobin information. A testee self-controls the starting and stopping time under four motion models; as for the change rate of cerebral-cortex hemoglobin concentration, the statistical analysis technique is adopted to analyze the statistical difference between oxyhaemoglobin and deoxyhemoglobin in various motion related areas of the cerebral cortex under different motion models, and based on the statistical characteristics, two relative motion trends of getting-up and sitting-down, as well as stair ascending and descending, are distinguished; and on this basis, the difference between oxyhaemoglobin and deoxyhemoglobin in various motion areas of the cerebral cortex is analyzed, together with the both-leg relative motion trends and the new statistical characteristics, the specific motion model is distinguished. The non-intrusive NIRS technology is adopted to record the cerebral-cortex hemoglobin concentration information of a human body without external stimulation or preliminary training, and restrictions on the test environment and the testee are less; the advantage of ideal time and space resolution is achieved; and the intelligence of walking aids is improved.

The invention discloses a method for extracting exercise ability parameters represented by cerebral cortex hemoglobin information. The steps include: (1) a stroke patient performs a finger-nose and heel-to-knee exercise experiment: the healthy side and the affected side complete the movement of the upper and lower limbs successively, The patient autonomously controls the start and end of the exercise and the rest time between the two tasks; (2) According to the information of the hemoglobin concentration in the cerebral cortex recorded during the exercise and during the rest, analyze the cerebral cortex of the patient before and after recovery from a multi-band perspective The degree of dispersion of oxygenated hemoglobin concentration in each motor function area, as well as the change trend of active frequency bands with positive concentration values ​​and inhibitory frequency bands with negative concentration values; (3) find out the change parameters of brain hemoglobin information space differences and the activation and inhibition The characteristic parameters of the frequency band represent the strength of stroke patients' exercise ability.

The invention relates to a neural stem cell injection, which is derived from a human fetal cerebral cortex source and is used for treating various brain damages. The neural stem cell injection at least comprises 1*10<6> neural stem cells, wherein the neural stem cells are obtained by separately culturing waste fetal cerebral cortex tissues; the neural stem cell are cultured by tissue separation and primary cell culture, purification and amplification culture of the neural stem cells, building of a neural stem cell library and preparation of the neural stem cell injection. The cells can be amplified by 5000 times in a serum-free culture system. According to the use condition of the cells, P5-generation neural stem cells of seed cells are recovered and counted, and undergo suspension culture in a serum-free culture medium and digestion passage, till P9-generation neural stem cells are obtain by repeating the previous steps. The neural stem cell injection is 95 percent in purity, and can be applied to treatment of various brain damage diseases such as cerebral apoplexy, hypoxic-ischemic brain damage and infantile cerebral palsy.

A subarachnoid pharmacodialysis apparatus insertable under the scalp, in and under the cranium, with a relatively short and simple neurosurgical procedure, to be kept there safely implanted for a year or longer for the purpose of regulating the neurochemistry of one or more diseased cerebral cortical areas and thus to achieve therapeutic effects via both localized delivery of medication and drainage of local neurotoxic molecules across the subdural meninges and compartments in a feedback-controlled fashion, with or without the additional capability of performing localized neurochemistry regulation in subcortical areas. This apparatus is also used for neurochemical profiling of the diseased brain area or areas by analyzing the removed endogenous molecules and adjusting the composition of the delivered medication based on the patient's specific, abnormal neurochemistry within the treated area or areas.

The invention provides a dyskinesia non-intrusive rehabilitative closed-loop brain-computer integrated system based on an FPGA. The FPGA is used as a control core of the system, nuclei basales and thalamic-cortical prosthesis hardware model is set up, data obtained through calculation of a self-adaptation control algorithm based on the FPGA is used as input to control model parameter setting and force feedback and adjustment until an expected control result is achieved, the self-adaptation control algorithm based on the dynamic causal model is realized, force feedback signals are output, and therefore rehabilitation of patients with the dyskinesia nervous system diseases is achieved. Rehabilitation of the patients with dyskinesia nervous system diseases is achieved, and the complex nuclei basales and thalamic-cortical neuron network and the self-adaptation control algorithm of the dynamic causal model are modeled. The platform provides the effective theoretical basis and technical support for rehabilitation of the dyskinesia nervous system diseases and has important practical value in research on control and treatment on nerve diseases such as Parkinson's disease, epilepsia and alzheimer's disease.

The invention provides a method for removing psychological disorder for a patient by the virtual technology. The working principle of the method is that a virtual user graph or image is obtained, a virtual user exposes in a virtual reality scene, an electrical-wave signal is acquired from the cerebral cortex of the user as the indirect measurement of the psychological rehabilitation effect; the real scene is changed to induce electric wave of the cerebral cortex of the user to enable the electric wave of the cerebral cortex to enter some state; active suggestions are provided to the user according to the special medical service of psychological rehabilitation for the user, so as to enable the electric wave of the cerebral cortex to be kept in the state all the time, and therefore, the active experience result of the user is improved, and a good way is provided for psychological training and rehabilitation; meanwhile, the motion sensing technology is performed to bring the user the realistic sensation, and thus the user can learn the way to treat a disaster in emergency while accepting psychological rehabilitation.

A method of commanding and controlling a mobile apparatus (wheelchair) based on the assimilation of visual parameter and brain activity data includes validating a desired position of gaze (the iris) in the environment using the physiological brain characteristics of the potentials mentioned in P300 and SSVEP. These supply a control unit and are used to assess the user's state of mental fatigue using an algorithm based on the theory of evidence. A unit detecting the user's emotional state is also implemented using the alpha and beta waves from the parietal, central and frontal region of the cerebral cortex and the user's heart rhythm. The assimilation between these two units makes it possible to define a mode of operation in real time: manual, semi-autonomous or autonomous, which corresponds to the user's emotional or fatigue states as well as the characterization of the environment (safe path, detection of obstacles, locked situation).

The invention discloses an implantable extensible multi-mode recording and photostimulation brain-computer interface device. The device comprises a deep penetration electrode part and a surface planeelectrode part. The deep penetration electrode part comprises a deep recording electrode point and a micro LED chip packaged in elastic transparent silica gel, wherein the surface plane electrode partcomprises a cortex recording electrode point. The micro LED chip emits light to work, neurons are activated to perform potential release, a cerebral cortex electric signal is collected through the cortex recording electrode point, and meanwhile the deep recording electrode point collects a single neuron pulse signal; and the cerebral cortex electric signal and the single neuron pulse signal are transmitted to an interface end at the same time. The device has deep brain photostimulation and synchronous multi-spatial-scale neural signal monitoring capacity and has multi-spatial-scale neural signal monitoring capacity, meanwhile, the unified interface end is used, and the system integration level and long-term implantation reliability are effectively improved.

The invention discloses a voice method and system capable of promoting auditory language cerebral cortex development of a premature infant. The voice method comprises the steps: S1, pure heart sound and mixed sound of the heart sound and voice of a mother of the premature infant are recorded; S2, the recorded sound is saved and processed to form intrauterine environment sound; and S3, the intrauterine environment sound saved in a cloud server is obtained and played. The voice method and system capable of promoting auditory language cerebral cortex development of the premature infant have the function of creating the uterine environment sound, a familiar intrauterine sound environment is created for the premature infant, and auditory language cerebral cortex development of the premature infant can be promoted.

The invention discloses an application of a photochemically-induced cerebral arterial thrombosis model for zebra fish. The cerebrum tissue is taken as an identification index of cerebral arterial thrombosis model for zebra fish. The principle of forming photochemically-induced thrombus is adopted. A rose-bengal solution is injected to abdominal cavities of zebra fish. Therefore, complete local infarction in cortex areas of zebra fish is caused by illumination within short time. Accordingly, an in vivo animal model is established. In the model, blood coagulation is caused by damaging vascular endothelial cells due to singlet oxygen released by the rose-bengal solution under light irradiation. The pathological process of cerebral arterial thrombosis is effectively simulated. According to anexperiment result of an observational index, the cerebrum area tissue of zebra fish has evident loose and infarct phenomena. Swimming behaviors of dysneuria such as whirling and standing upright occurto zebra fish. The method is simple and high in success rate and convenient to promote. Damage sensitivity of cerebrum tissue is high and repeatability is good. The photochemically-induced cerebral arterial thrombosis model for zebra fish can act as a practical tool index for screening medicine, for blood vessel protection after cerebral infarction and thrombolytic therapy.

The invention provides a near-infrared brain region activation mode-oriented peripheral electrical stimulation system and a use method thereof, and the system comprises a peripheral electrical stimulation module which is used for generating a current pulse sequence with certain intensity and time sequence, and carrying out the electrical stimulation intervention of a multi-target region for a trainee at the peripheral part; and a near-infrared brain area activation guiding module which is used for guiding the electrical stimulation intervention of the peripheral electrical stimulation module on the trainee. The system is based on near-infrared light signal parameter monitoring and feedback. According to the method, the stimulation intensity baseline of peripheral electrical stimulation training is automatically determined, peripheral electrical stimulation parameters are adaptively adjusted by combining the activation degree of the corresponding cerebral cortex area, visual feedback isprovided, the adaptability and flexibility of peripheral electrical stimulation training are improved, and the quality and efficiency of rehabilitation training are improved.

The invention relates to a high-sensitivity and non-invasive detecting, analyzing and processing system for human brain cortex nerve electric signals. The high-sensitivity and non-invasive detecting, analyzing and processing system is mainly characterized by comprising a fully-electromagnetic shielding bus transmission electrode cap, a data bus interface signal amplifier, an analog-to-digital converter and a computer. A plurality of fully-electromagnetic shielding short-matrix self-guided self-spread scalp microelectrode array modules are mounted on the fully-electromagnetic shielding bus transmission electrode cap, and each fully-electromagnetic shielding short-matrix self-guided self-spread scalp microelectrode array module comprises a plurality of fully-electromagnetic shielding self-guided self-spread scalp microelectrodes which are arranged according to a certain matrix. The computer performs analyzing and processing through an internal signal data real-time analyzing and processing system. The high-sensitivity and non-invasive detecting, analyzing and processing system has the advantages that the system is reasonable in design, simple to operate, high in interference resistance, non-invasive, accurate, real-time and the like, and a simple, practicable, accurate and reliable solution is provided for the building of a non-invasive human brain computer interface.

The invention discloses application of hydrogel in preparation of electrodes of a cortex electrograph for detection. According to a cortex electrograph collection technique, the hydrogel with low conductivity is used as the electrodes for the first time. The hydrogel in a cerebrum liquid environment can achieve electric conduction through dissociative ions in the environment, and by means of the directional movement of the ions, electric current is generated and a detection effect similar to highly-conductive materials can be achieved. Meanwhile, the hydrogel can be matched with brain tissuesperfectly in the mechanical property and tightly fitted with the cerebral cortex. By means of the great biocompatibility of the hydrogel, biological rejection can be avoided. Through the application,not only can the physiological performance of traditional cortex electrographs be greatly improved, but also it is likely to achieve cortex electrograph recording for a long time in order to achieve more functions.

The invention discloses a multiparameter animal cortex blood flow monitoring device and method. The device comprises a focusing ultrasound energy converter, an imaging system and a pathology inductionsystem, wherein the focusing ultrasound energy converter is provided with imaging holes in the middle, and is connected with the imaging system and the pathology induction system; the imaging systemis used for using a light source to illuminate the imaging range of the cerebral cortex surface of animals through the imaging holes of the focusing ultrasound energy converter, and capturing and generating images when the light source illuminates the specific position of the cerebral cortex surface of the animals; the pathology induction system is used for utilizing an excitation light source toilluminate the specific position of the cerebral cortex surface of the animals, and inducting the pathology change of the position. By means of the multiparameter animal cortex blood flow monitoring device and method, the purposes that the change of cerebral blood flow caused by pulse transcranial ultrasonic stimulus (pTUS) under the condition of physiology and pathology in cerebral apoplexy can be monitored in real time, and the pTUS nerve regulation effect is evaluated through multiparameter haemodynamics change are achieved.

Cerebral cortex thickness estimation in brain magnetic resonance imaging (MRI) is an important technical means for researching brain development and neurodegenerative diseases in neuroimaging. The invention provides a cerebral cortex thickness estimation algorithm based on a three-dimensional Laplace operator, which can accurately capture geometrical morphological characteristics in brain nuclearmagnetic resonance imaging. The method comprises the following steps: firstly, starting from the elimination of a cross overlapping region generated on the surface of a gray matter layer and the surface of a white matter layer, constructing a tetrahedral mesh which reflects the inherent geometrical characteristics of the brain and is matched with MRI; secondly, constructing a three-dimensional Laplace operator by utilizing a geometric constraint relationship of a tetrahedral mesh, and calculating the distribution of a cerebral cortex internal temperature field under a Diels boundary by utilizing a finite element method; then, determining a local isothermal surface, obtaining the gradient line direction of the isothermal surface in the temperature field through a calculation geometry method, and a tetrahedral mesh unit where internal points on a gradient line are located is rapidly locked through a half-half surface data storage structure; and finally obtaining the thickness characteristic information of the cerebral cortex according to the direction and the step length of each gradient line by combining the set gradient step length. According to the method, the morphological structure detection capability of the cerebral cortex can be effectively improved by constructing a high-quality cerebral cortex tetrahedral mesh and determining a high-precision temperature field gradientline.

The invention discloses an integrated eye and brain visual function imaging system. The system includes: a visual stimulus presentation device which presents pictures and videos comprising a plurality of stimulus-inducing patterns; an eye vision imaging device which is a retina and pupil imaging device based on multi-spectrum; a brain vision imaging device which is a visual cortex blood flow signal imaging device based on a spectrum technology related to near infrared diffusion; and a cooperative working station which comprises an imaging acquisition control module and an image analysis module and is used for cooperatively controlling the eye vision imaging device and the brain vision imaging device and processing and analyzing the acquired multispectral retina and pupil images and visual cortex blood flow images. The system can realize synchronous recording of nerve function response of eye retina, pupil and brain visual cortex, carry out joint analysis on multi-mode multi-parameter visual physiological signals, and provide a method for visual information coding and decoding, visual reconstruction mechanism research, visual nerve regulation and quantitative evaluation damage positioning and the like.

The invention provides a preparation method of neural stem cells and glutamatergic neurons in cerebral cortex, and relates to an iPSC complete neural induction culture medium. The iPSC complete neuralinduction culture medium comprises the following components: a cell basic culture medium, a cell culture additive, neural development factors and an inhibitor. The invention provides the iPSC complete neural induction culture medium, an iPSC nerve cell culture medium and a culture method. The culture medium includes a serum-free basic medium, a cell additive, neural development factors and an inhibitor. The use of the serum-free basic medium can avoid the introduction of exogenous substances and reduce the risk of pollution. Meanwhile, a variety of nutrients, such as the cell additive and theneural development factors, can enable iPSC cells to be stimulated by signals so that iPSC cells can be activated to promote differentiation. The cell culture method provided by the invention is simple, efficient, low in cost, and can induce high-quality neuron cells in a short period.

The invention discloses an electroencephalogram signal generating method, a storage medium and electronic equipment. The method comprises the following steps: establishing a matrix-type brain networkby taking a pre-established neuron group module as an element; and driving the matrix-type brain network to generate an electroencephalogram signal according to a preset communication parameter, wherein the preset communication parameter is used for controlling the state of the neuron group module in the matrix-type brain network. According to the invention, invisible nerve activities in a human brain are simulated through a large-scale human brain nerve network model based on thalamus and cerebral cortex, and the model is used to predict electroencephalogram signals under different brain nerve activity states, so that simulated electroencephalogram signals are generated.

The present invention discloses an implant device comprising: a flexible cable having a lead-in portion; a circuit chip secured to a side surface of the lead-in portion and electrically connected to the lead-in portion; a fluid adhesion layer adhered to the outside of the circuit chip and the lead-in portion; and a vapor deposition layer deposited directly outside the fluid adhesion layer. The implant device according to an example of the present invention is characterized in that the fluid adhesion layer is adhered in the form of liquid molecules and the vapor deposition layer is directly deposited on the pores and the surface of an assembly with the fluid adhesion layer encapsulated therein with molecular dimensions, so that the infiltration of corrosive body fluid can be avoided withoutaffecting the electrical connection of the lead-in portion and the circuit chip, thereby guaranteeing the leak tightness and reliability of the implant device. The present invention also discloses anencapsulating method for the implant device and a cerebral cortex stimulating visual prosthesis having the same.

The present invention discloses an electrical stimulation method for observing rat craniotomy motor cortex with the adjustable waveform and amplitude. The method is characterized in that: the motor area of the cerebral cortex is an advanced nerve center for regulating the body motor function, and, through the downward pathway of the pyramidal and extrapyramidal system, controls activities of the brain stem and spinal motor neurons, so as to control muscle movement. Corresponding effects occur after cortical electrical stimulation, experimenters attempt to, through the electrical stimulation of the motor area of the cerebral cortex, cause the effect of body movement, and observe the phenomenon of functional localization of the motor area of the cortex. The rat is fixed to a stereotaxic apparatus, the bone windows are opened, a cortical electrical stimulation using microelectrode is performed, and the electrode is inserted vertically into the position 1.8 mm below the cortex, and adjusted within a range of + / - 200 um so as to cause the maximum movement of the contralateral forelimb, facial hair and neck corresponding to the stimulation points. An electrical stimulator with the adjustable waveform and amplitude is further produced, is capable of accurately completing the experimental observation of electrical stimulation predetermined by experimenters, and provides technical support for the experiment.

The invention relates to a stereotactic magnetic head, an array, and a brain neuronal electrical activity interference system. The technical characteristics are that the stereotactic magnetic head comprises a stereotactic magnetic head shell, a pulse magnetic field coil, a pulse magnetic field guide column, a plurality of magnetic field stereotactic control coils and a magnetic field guide conical ring; the stereoscopic magnetic head array consists of a plurality of stereoscopic magnetic heads; and the system comprises a stereotactic magnetic head array, a pulse magnetic field coil control unit, a magnetic field stereotactic control coil control unit and a central control unit. According to the invention, the membrane potential of the cerebral cortical nerve cells can be changed and an induced current can be produced by applying the pulse magnetic field to the brain; the control function of the electrical activity of the cerebral cortical nerve cells can be realized by controlling the direction of the pulse magnetic field and the magnetic induction intensity; and the invention can be widely used in noninvasive artificial vision, artificial hearing, control treatment of abnormal cerebral cortex electrical activity and abnormal neuronal reshaping and the like.

The invention provides a limb movement training scheme automatic recommendation method and system. The method comprises the following steps: carrying out Brunnstrom scale, Holden walking ability grading, Berg balance scale and improved Ashworth scale evaluation on the patient, and recording the grade of evaluation results of each scale; collecting cerebral cortex oxyhemoglobin concentration change data of the left / right forehead lobe, the left / right movement area and the left / right occipital lobe of the patient in a resting state, and calculating a functional connection index between every two brain areas; according to the evaluation result of the scale and the function connection index of the brain interval, utilizing a pre-established neural network model to automatically recommend the exercise training scheme; and pushing the recommended exercise training scheme to a doctor for auditing, and using the evaluation result of the scale, the functional connection index between brain regions and the training scheme confirmed / modified by the doctor for updating the pre-established neural network model.

The invention discloses a recognition method for the resistance states of lower-extremity motion on the basis of cerebral hemoglobin information. The method comprises the following steps: applying a near-infrared light brain-imaging device during an experiment to collect hemoglobin information of a cerebral cortex of a subject when the subject performs riding motion by himself in the different resistance states; as for hemoglobin concentration information of the cerebral cortex recorded at the motion starting point, utilizing the difference value between oxyhemoglobin and deoxyhemoglobin and deoxyhemoglobin as analysis parameters and respectively calculating difference value and change rate of deoxyhemoglobin during each sampling period as well as calculating difference values and averagevalue of the change rate of deoxyhemoglobin in multiple sampling periods, screening out and determining a key channel and respectively considering parameter characteristics of the key channel in multiple frequency bands; utilizing difference values between oxyhemoglobin and deoxyhemoglobin of the key channel in multiple frequency bands and the average speed of the change rate of deoxyhemoglobin asfeature vectors and adopting an ELM extreme learning machine method to test the resistance state level of the subject.

The invention discloses a cortical functional multi-mode imaging system. The system comprises a wide-spectrum light source, a laser diode and a red light-emitting diode which are arranged above cortex dispersedly; a coaxial filter is respectively arranged in front of the wide-spectrum light source and the red light-emitting diode; backward scattered light come from the cortex is split into two paths by a dispersion prism; one path of the backward scattered light is connected with a first charge coupled device through a liquid crystal tunable filter; the other path of the backward scattered light is connected with a second charge coupled device through a filter; and the two charge coupled devices are respectively connected with two computers. The system solves the difficult problem of technology integration of fluorescence imaging and intrinsic signal optical imaging for a long time by introducing the liquid crystal tunable filter; and the intracellular pH value, cerebral blood volume,deoxygenated hemoglobin and cerebral blood flow changes can be obtained at the same time by combining laser speckle imaging so as to provide an effective means for researching brain functions and disease mechanisms more completely in detail.

The invention relates to the new application of the preparation of the Chinese traditional medicine, in particular to the prevention effect of blood-nourishing and brain-refreshing granules on the trauma of cerebral nerve cell. The test data indicate that the blood-nourishing and brain-refreshing granules have prevention effect on the trauma of the nerve cell of hindbrain cortex caused by ischemia-reperfusion of arteria cerebri media.

The invention discloses a cerebral cortex surface reconstruction method and a readable storage medium, and belongs to the field of medical image processing. The cerebral cortex surface reconstruction method comprises the following steps: performing data preprocessing on a medical image to obtain a standardized image; inputting the standardized image into a segmentation model to segment a brain anatomical structure adjacent to gray matter so as to obtain a distinguished brain anatomical structure segmentation image; inputting the distinguished brain anatomical structure segmentation image and the standardized image into a surface level set prediction model to obtain a level set representation image of an interface between the brain anatomical structure and the grey matter; the level set representation image of the interface between the brain anatomy and the grey matter is input into a topological repair module and a polygonal mesh representation reconstruction module to obtain a polygonal mesh representation of the interface between the brain anatomy and the grey matter.

The invention discloses a rehabilitation monitoring system and method based on near-infrared brain imaging, and the system comprises a near-infrared brain imaging collection module which is used for collecting a brain blood oxygen signal, analyzing an activation region of the cerebral cortex of a trainee, and monitoring the motion characteristics of muscle groups in a motion region of the cerebral cortex; the near-infrared peripheral nerve monitoring module is used for distinguishing nerves of each link and monitoring the activity of peripheral nerves of the nerves of each link; the muscle activity detection module is used for judging the activity degree of the muscle according to the blood oxygen content of the muscle; and the data processing and analyzing module is used for summarizing and analyzing the data, identifying weak muscle groups of the spine and monitoring the motion state of core muscle groups in real time. The brain function imaging dynamic spectrum during movement is combined, cerebral cortex activity information characteristics corresponding to movement are refined, muscle group activity is accurately monitored and evaluated, a specific cerebral cortex area is monitored so as to evaluate the brain activation degree, the muscle activation degree, the muscle fatigue degree and the like, and real-time monitoring of rehabilitation training is achieved.