31 results about "Cerebral oxygen" patented technology

The invention discloses an intelligent monitoring system for tumor nursing. The intelligent monitoring system comprises a wearable sensing terminal group, a patient terminal, a cloud platform intelligent analysis center and a medical care terminal. The wearable terminal is used for collecting multi-modal physiological and behavior data such as electroencephalogram, near-infrared brain blood oxygen, heart rate variability, body movement, electrodermal response and gaits; the patient terminal is used for recording subjective symptoms and completing cognition and exercise task evaluation. The cloud platform intelligent analysis center constructs a multi-parameter individualized baseline through data fusion, noise suppression and time alignment, comprehensively analyzes real-time deviation, electroencephalogram abnormality, cognitive deviation and gait change by using a short-term acute early warning model and a long-term trend early warning model, and generates a risk level. The digital twinborn visualization module is used for dynamically displaying the state of the patient, and the medical care terminal performs clinical response based on the graded alarm board. According to the invention, extra-hospital multi-mode continuous monitoring, individualized trend identification and intelligent early warning can be realized, and the real-time performance of follow-up management of brain tumor patients is improved.

In some examples, a system is configured to use a neural network algorithm of a cerebral autoregulation model to determine a cerebral autoregulation status of a patient based at least in part on blood pressure of the patient over a period of time and regional cerebral oxygen saturation of the patient over the period of time.

The application discloses a kind of elderly hip fracture surgery perioperative adverse event real-time monitoring system and method, it is related to perioperative monitoring technical field.The method includes: real-time acquisition perioperative monitoring data, carries out data pre-processing, and extracts benchmark feature;Identify the decline segment of cerebral oxygen saturation below benchmark feature, jointly assess the decline amplitude and persistence, obtain the weak trend characterization of brain oxygen;Analysis of the relative change characteristics of serum inflammatory markers, form the weak trend characterization of inflammation;Assess the deviation degree of vital signs relative to benchmark, obtain the vital signs fluctuation characterization, and further judge the delirium precursor risk, output risk prompt;Visual display various weak trend characterizations and delirium precursor risk, link label risk trigger information and contribution source.The present application solves the technical problems that the prior art is difficult to extract and identify early weak abnormal trend in perioperative multi-source physiological signals.

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

The invention discloses a plateau population brain aging comprehensive index determination method and device, a medium and a computer program product, which adopt a 3D-CNN architecture to process nerve image data, improve brain age prediction precision, apply a longitudinal comparative analysis method, realize individualized brain aging trajectory tracking, generate a saliency map, and improve brain age prediction accuracy. And visual abnormal brain region positioning information is provided. And a multi-modal weighted fusion algorithm is adopted, so that data isomerism challenges are overcome, and information complementation and result verification are realized. Brain oxygen saturation parameters are incorporated into a brain aging evaluation system, and the key problem that hypoxia affects brain aging in a plateau environment is solved. A plateau population brain aging norm is established, the problem that plain standards are not applicable is solved, and a plateau brain aging specific mode is disclosed. The integrated evaluation process simplifies the operation steps, reduces the professional threshold, improves the prevention and treatment effect through personalized intervention suggestions, and is beneficial to delaying the brain aging process.

The present application relates to the technical field of medical image monitoring, in particular to an intraoperative cerebral oxygen saturation image dynamic monitoring and early warning system and method for elderly patients, comprising a bilateral cerebral oxygen acquisition module, a cerebral oxygen waveform image construction module, a cerebral oxygen image feature extraction module, a hierarchical early warning module and a multi-parameter linkage display module, through the bilateral cerebral oxygen saturation time series signals output by the bilateral near-infrared cerebral oxygen saturation sensors are synthesized into a double-channel cerebral oxygen waveform image aligned with the same time window start and end time and sharing the amplitude scale, three types of geometric morphological features of bilateral cerebral oxygen slope, bilateral cerebral oxygen asymmetry index and relative baseline drop amplitude are uniformly extracted in the image domain, three types of high-risk mode hierarchical triggering of unilateral cerebral oxygen threshold persistence, relative baseline drop and bilateral asymmetry are driven, and the invasive arterial pressure, cardiac output, anesthesia depth index waveform and hemodynamic event characteristic root cause pairing display are jointly presented.

The invention provides a cerebral apoplexy sudden sign real-time grading alarm method and system based on edge computing, and relates to the technical field of edge computing, and the method comprises the steps: collecting multi-modal physiological sign data in real time through an intelligent monitoring bracelet worn by a patient, the multi-modal physiological sign data comprises heart rate, blood pressure and brain oxygen saturation, and the multi-modal physiological sign data is transmitted to an edge computing gateway deployed in a ward. According to the invention, efficient and accurate monitoring of the stroke high-risk patient is realized.

The application relates to the technical field of medical signal processing, in particular to a blood flow dynamic simulation system based on cerebral oxygen entropy, which comprises a data acquisition module, a structure modeling module, a state monitoring module, a simulation calculation module and an abnormality prediction module.In the application, through synchronous utilization of cerebral oxygen saturation and blood flow velocity signals, accurate capture of the dynamic correlation between cerebral oxygen supply and blood flow dynamics is realized, the sensitivity of abnormal fluctuation identification is enhanced, individualization and accuracy of blood flow simulation are improved in combination with cerebral vascular geometric structure and vascular elasticity and compliance parameters, abnormal state recognition of blood supply is strengthened by utilizing multi-point dynamic coupling, cerebral blood supply stability evaluation is optimized, the degree of restoration of local blood flow microdynamic characteristics is improved through dynamic updating of inertia coefficients and shear stress, the nonlinear coupling relationship is extracted in combination with oxygen entropy fluctuation, shear stress and flow velocity gradient, the accuracy of abnormal event prediction is improved, and the early warning capability of cerebral blood supply abnormality is enhanced.

The invention discloses a non-invasive brain oxygen saturation monitoring method and system. The system is characterized in that a light source driving circuit drives a probe module to generate a light signal with a preset time sequence under the control of a main control unit; the probe module comprises a first light source and a second light source, the same sides of the first light source and the second light source are respectively provided with three detectors which are arranged along a radial direction and are arranged at different intervals, and the three detectors corresponding to the first light source and the three detectors corresponding to the second light source are arranged on the left side and the right side in mirror symmetry; the signal conditioning module is used for processing the detected optical signal to obtain a spectral signal; the analog-to-digital conversion circuit is used for converting the spectral signal into a corresponding digital signal, and then the digital signal is transmitted to the signal preprocessing module through the communication interface under the control of the main control unit; the signal preprocessing module is used for filtering and denoising the received signal and then transmitting the signal to the calculation module to quantitatively calculate the brain oxygen saturation. The brain tissue blood oxygen saturation monitoring efficiency, accuracy and convenience are improved.

This invention relates to the field of sleep monitoring data fusion processing technology, and discloses a sleep monitoring method based on the fusion of non-invasive brain oxygen saturation (AHI) and multiple physiological parameters. The method includes: S1, simultaneously acquiring multiple physiological parameter signals during the subject's sleep; S2, extracting and analyzing the AHI signal to generate multiple characterization markers; S3, identifying respiratory events related to the subject's apnea information from the respiratory signal and pulse oximetry signal, calculating the apnea-hypopnea index (AHI); and performing correlation analysis on the identified respiratory events and multiple characterization markers to calculate a correlation coefficient; S4, obtaining a comprehensive sleep monitoring assessment report based on the correlation coefficient and the AHI to determine the severity of the subject's current respiratory disturbance and the risk of brain tissue hypoxia. By improving the effectiveness of AHI in non-invasive brain oxygen saturation monitoring, the confirmatory nature of non-invasive brain oxygen saturation information in the respiratory correlation diagnosis during sleep monitoring is ensured.

The present application relates to a cardiopulmonary resuscitation system based on brain oxygen information collaborative control. The system comprises: a detection module capable of detecting at least the brain oxygen and heart rate of a patient, a defibrillator and a processor capable of controlling the working parameters of the defibrillator. The processor is configured to: based on the patient being in a state of not recovering spontaneous breathing, when the brain oxygen detection result of the patient detected by the detection module is in the first range representing that the patient is in sufficient brain oxygen, and the cardiopulmonary resuscitation cycle reaches the condition of meeting the defibrillation requirement, control the defibrillator to start working in a gradient increasing energy mode. The system of the present application adjusts the start-up time of the defibrillator and its working parameters after starting based on the changes of brain oxygen information, blood oxygen information or heart rate information, and provides judgment information of chest compression effectiveness for rescuers. Based on the system provided by the present application, the efficiency of emergency treatment of severe cases can be improved.

This invention relates to the field of high-altitude environmental health monitoring technology, and particularly to an intelligent fusion analysis method and system for brain oxygen signals in high-altitude environments. This method acquires and fuses multi-channel brain oxygen saturation, multi-dimensional physiological parameters, and time-varying environmental data to mine the synergistic characteristics of oxygen metabolism across brain regions and construct a spatiotemporal evolution tensor. Based on this, a multi-scale, time-dependent hypoxia susceptibility dynamic model is constructed, generating a prospective risk assessment benchmark. Furthermore, risk extrapolation and causal chain reconstruction of brain oxygen evolution are performed, outputting structured prediction results and dynamically recalibrating the model. This achieves accurate, prospective assessment and dynamic tracking of individual brain oxygen risk in high-altitude environments.

The invention provides a head and neck partition multi-mode independent temperature control system for a medical ice cap, which comprises a medical ice cap and an ice cap temperature control subsystem, and is characterized in that the ice cap temperature control subsystem comprises a physiological signal acquisition module for acquiring head data by using a near infrared spectrum sensor and an electroencephalogram monitoring electrode to obtain original monitoring data; the signal processing and decision-making module is used for filtering and standardizing the original monitoring data and calculating local brain oxygen saturation and potential difference signal characteristics; the partition temperature control execution module is used for defining a plurality of cooling modes and carrying out cooling mode selection, cooling adjustment and temperature monitoring alarm according to local brain oxygen saturation and potential difference signal characteristics; and the transmission and visualization module is used for designing a wireless communication mode and an interface layout and carrying out data transmission and visualization display. According to the system, personalized cooling and real-time monitoring of physiological data are achieved, the safety, effectiveness and flexibility of clinical treatment are remarkably improved, the comfort level of a patient is optimized, and the requirements of modern medical treatment are met.

The utility model provides a brain oxygen and blood oxygen composite probe, a monitoring system and head-mounted equipment. The brain oxygen and blood oxygen composite probe comprises a probe base, and the probe base is provided with a brain oxygen light source used for emitting brain oxygen detection light to the brain; the brain oxygen sensor is used for receiving and detecting brain oxygen detection light transmitted from the brain; the blood oxygen light source is used for generating blood oxygen detection light to the brain; the blood oxygen sensor is used for receiving and detecting brain oxygen detection light transmitted from the brain. According to the brain oxygen and blood oxygen composite probe, a brain oxygen detection end and a blood oxygen detection end are integrated on the same probe equivalently, monitoring of two types of parameters can be completed by using the same probe in clinical application, the number of monitors bound on a patient can be reduced under the condition that the types of the monitored parameters are not affected, and the monitoring efficiency is improved. The use convenience and the comfort of the patient are improved, and the bad condition that the monitoring result is influenced by the monitor looseness caused by the movement of the patient is relieved.

The utility model relates to the technical field of ice caps, in particular to an anti-slip ice cap which comprises a cap body and a neck supporting protection pad, the cap body comprises a double-layer rubber layer, an annular opening is formed in the inner side of the double-layer rubber layer, an invisible zipper is fixed to the edge of the annular opening, a plurality of ice columns are arranged in an interlayer of the double-layer rubber layer, and the neck supporting protection pad is arranged in the interlayer of the double-layer rubber layer. A fixing piece is further fixed in the interlayer of the double-layer rubber layer, by arranging the fixing piece, each ice column is fixed in the placing hole of the heat preservation layer, ice blocks are prevented from sliding, moving and gathering to a certain position when a patient turns over or moves, chilblain is reduced, meanwhile, the brain oxygen consumption can be reduced, brain cells can be protected, and the patient can feel comfortable. And by arranging the containing bag, the double rubber layers and the sealing ring, the conditions of ice column melting and liquid leakage can be avoided, the ice column fusion time is shortened, and the comfort level of a patient is improved.

The invention discloses an epilepsy child brain oxygen monitoring method based on a near-infrared gating ICCD imaging technology, and belongs to the technical field of medical monitoring and brain function imaging. Pulse is transmitted to the head of an epilepsy child through a laser, and photons return again after reaching brain tissue; setting an acquisition interval of the near-infrared gating ICCD detector to acquire a plurality of brain frame images; acquiring the light intensity of each pixel point in the plurality of brain frame images, and establishing a light intensity response curve; photon flight parameters are extracted to invert an absorption coefficient and a scattering coefficient corresponding to each pixel point; fitting oxyhemoglobin concentration and reduced hemoglobin concentration corresponding to each pixel point, and calculating oxygen saturation; and generating a brain oxygen saturation image for brain oxygen monitoring. The space coverage range, the imaging efficiency and the quantitative accuracy of brain oxygen monitoring are remarkably improved, and a powerful visual tool is provided for epilepsy focus positioning and preoperative brain function evaluation of child epilepsy.

The invention discloses a cerebral apoplexy monitoring method and system based on cerebral oxygen metabolism rate imaging, and relates to the technical field of medical care. A cerebral apoplexy monitoring system based on cerebral oxygen metabolism rate imaging comprises a data acquisition and calculation module, a data preprocessing module, a data fusion and imaging module, a brain state prediction module and a comprehensive evaluation and planning module. According to the method, the current brain oxygen metabolism rate of the brain tissue is obtained through formula calculation based on the preprocessed blood oxygen parameter data and the relative blood flow index data, the oxygen supply and oxygen consumption conditions of the brain tissue can be reflected at the same time, the brain oxygen supply and demand state can be comprehensively reflected, more comprehensive evaluation is provided for the brain oxygen metabolism state, and the brain oxygen metabolism rate is improved. And the evaluation accuracy of the cerebral apoplexy monitoring method and system based on cerebral oxygen metabolism rate imaging is improved.

The application provides a kind of intelligent dimming method and system based on multi-modal physiological feedback, it is related to intelligent lighting and lighting control technical field.The application synchronously acquires eye movement data and near-infrared functional imaging brain oxygen signal under task scene, with eye movement event as anchor point alignment and compensate brain oxygen time delay, obtain time alignment multi-modal data segment;State index reflecting attention, cognitive load and fatigue degree is extracted, individualized baseline is established and dynamically updated, and normalized state feature vector is generated;The feature vector is input into neural network light regulation model, and the target light intensity, correlated color temperature and spatial distribution ratio are output;Based on the target parameter, a joint control instruction is generated, and a short physiological response is collected to form a closed-loop feedback.The application realizes real-time adaptive matching of lighting and individual physiological state, significantly improves the accuracy and human comfort of intelligent lighting.

The embodiment of the invention relates to the technical field of vehicles, and discloses a vehicle control method and device, a medium and equipment. The method comprises the following steps: at least acquiring vehicle state data, map data and real-time traffic data as well as brain oxygen data, eye movement data and heart rate data of a user; inputting the vehicle state data, the brain oxygen data, the eye movement data and the heart rate data into a preset algorithm model to predict the hypoxia risk probability of the user; and according to the map data, the real-time traffic data, the vehicle state data and the user hypoxia risk probability, a vehicle stop point is planned by combining a preset dimension weight table, and a vehicle grading response strategy is executed. According to the embodiment of the invention, the conditions of slow response, dizziness and even loss of consciousness caused by insufficient brain oxygen supply due to plateau oxygen deficit, fatigue, closed environment or health problems in the driving process of a driver or a passenger can be reduced, and the driving safety can be guaranteed.

The invention relates to the technical field of medical instruments, and discloses a brain oxygen saturation monitoring device and system and a using method of the device.The brain oxygen saturation monitoring device comprises a detection unit, a receiving unit, a processing unit and a control unit.The detection unit is arranged and emits at least two beams of light to the head of a patient; the light reflected by the head of the patient enters the receiving unit, the receiving unit converts an optical signal into an electric signal and uploads the electric signal to the processing unit, then the processing unit converts the electric signal into a digital signal, and the measured basic value of the brain oxygen saturation of the head of the patient is calculated through the intensity difference and the frequency difference in combination with the Lambert-Beer law; the brain oxygen protection degree change rate is calculated according to the processing unit and uploaded to the control unit, and the value of the brain oxygen saturation degree change rate is displayed through the control unit, so that the technical effect of improving the reliability of monitoring or auxiliary judgment of related treatment measures on a patient is achieved.

1. The name of the design product: biological signal acquisition instrument (multi-modal module). 2. The use of the design product: can be plugged into the host, used for collecting physiological signals such as electroencephalogram, cerebral oxygen, near-infrared or electrocardiogram, and realizing signal acquisition of brain-computer interface system. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This application relates to the field of bioelectrical signal acquisition and brain-computer interface technology, and discloses an electroencephalogram (EEG) acquisition device. It includes a device body, ear clip components, a brain oxygen acquisition module, and a main control module. The EEG acquisition module, ear clip components, and brain oxygen acquisition module are all electrically connected to the main control module. The device body is a flexible, adaptable body, using flexible silicone as a covering layer. The ear clip components are a first ear clip and a second ear clip, symmetrically arranged. The first ear clip serves as the EEG acquisition reference negative electrode, and the second ear clip serves as the environmental interference acquisition end. The second ear clip is electrically connected to the differential amplification module within the main control module. The device body has an embedded magnetic female electrode interface, which serves as a dry electrode for acquiring EEG signals, and / or magnetically connects to external electrode pads for acquiring EEG signals. The device body has multiple preset forehead acquisition points, and the main control module integrates a point configuration switching module to wake up or deactivate corresponding acquisition points.

The application relates to the technical field of signal evaluation, and particularly provides a cerebral oxygen signal quality evaluation method, device, medium, equipment and product. The method can comprise the following steps: detecting cerebral oxygen signals in multiple windows to determine a signal evaluation queue; the signal evaluation queue comprises at least one piece of to-be-evaluated data related to the cerebral oxygen signals in at least one window; in the case that the queue length of the signal evaluation queue is greater than a length threshold, the to-be-evaluated data is evaluated in quality by using multiple signal quality indexes, and evaluation results of each signal quality index in the multiple signal quality indexes are obtained; wherein the multiple signal quality indexes comprise a signal light intensity index, a signal variability index, a signal correlation index or a signal correlation degree index; and whether the cerebral oxygen signals are effective is determined based on the evaluation results of each signal quality index. The application can improve the efficiency and accuracy of cerebral oxygen signal quality evaluation.

The application relates to the field of noninvasive detection technology and discloses a brain computer oxygen monitoring integrated probe, which comprises a contact layer sheet, a plurality of groups of electrode contact sheets and an attached mounting unit. The brain computer oxygen monitoring integrated probe is stacked in the vertical direction through a layered mounting module, electrode lead wire layers, brain oxygen optical element mounting layers and electromagnetic shielding layers are arranged in the vertical direction, the functional structures required by brain electric acquisition and brain oxygen monitoring can coexist in the limited height space of the forehead, the light window of the contact layer sheet and the light hole of the mounting layer sheet form a light well in the vertical direction, the light emitting device and the light sensor are respectively located directly above the light well and keep alternating interval distribution, the space congestion problem caused by simultaneously arranging the brain electric electrode and the brain oxygen optical assembly in a single plane is avoided, and the brain electric electrode and the brain oxygen optical assembly can work in the best acquisition area under the premise of not interfering with each other.

The invention relates to the technical field of anesthesia monitoring, in particular to an intelligent anesthesia depth monitoring, regulating and controlling method and system based on multi-modal data fusion, and the method comprises the steps: collecting an electroencephalogram signal and a brain oxygen saturation signal, carrying out the preprocessing of the electroencephalogram signal and the brain oxygen saturation signal, and generating a frequency spectrum energy feature vector and a steady-state feature vector; splicing the spectrum energy feature vector and the steady-state feature vector to form a waking state anchor point vector; calculating a state offset vector based on the multi-modal feature vector and the waking state anchor point vector, outputting an anesthesia depth value through a neural network model, and recording the anesthesia depth values at the current moment and the previous moment at the same time to generate a state change rate; and inputting the pharmacokinetic concentration, the anesthesia depth value and the state change rate into the anesthesia trend prediction model to generate a future anesthesia state estimated value and a future trend offset, constructing a trend regulation and control scoring function, and generating a corresponding anesthesia regulation and control suggestion according to the trend scoring value and the anesthesia depth value.

This invention discloses an intelligent state analysis method for anesthetized patients based on physiological data, comprising the following steps: S1, organizing and annotating historical anesthesia data to form executable state recognition rules and establishing a standardized historical case reference library. The beneficial effects of this invention are: by decomposing key interactive substructures such as nerve-circulation, brain-circulation, and respiration-perfusion from dynamic network profiles, coordinating indicators with clear physiological significance, such as baroreflex function index, brain oxygen-blood pressure coupling coefficient, and ventilation-perfusion matching degree, are calculated; these indicators can quantify the coordination of physiological systems under anesthesia from multiple dimensions; the system performs multi-dimensional similarity matching of these real-time indicators with an internalized anesthesia state knowledge base (containing multiple preset state modes), realizing accurate and interpretable independent determination of the anesthesia depth state in three dimensions: sedation, analgesia, and muscle relaxation, overcoming the limitations of traditional single index monitoring.

The application discloses a wearable pain relief device and a remote monitoring system thereof, which comprises a multi-modal physiological sensor array, a data fusion processing module, a control module, a transcutaneous electrical stimulation output module, a communication module and a remote monitoring system. The multi-modal sensor array collects pain-related physiological parameters such as electromyography, skin conductance, body surface temperature, heart rate and brain oxygen, the data fusion module generates a pain estimate value, the control module dynamically adjusts the stimulation intensity based on the PID+derivative compensation algorithm, and the transcutaneous electrical stimulation module outputs an electric current to intervene in pain. The communication module uploads data to the remote monitoring system, and medical staff can monitor and remotely adjust parameters in real time through the cloud platform. The application realizes real-time monitoring, intelligent control and remote intervention of pain, has the advantages of personalized treatment, data security and scalability, and is suitable for postoperative pain management, chronic neuropathic pain and the like.

The invention belongs to the technical field of cardio-pulmonary resuscitation, and discloses a system and a method for optimizing a cerebral protection mechanism of hypoxic ischemia encephalopathy after cardio-pulmonary resuscitation, which are characterized in that an intracranial pressure monitoring device is used for monitoring the change of intracranial pressure in real time and evaluating the degree of brain injury and the condition of encephaledema; through intracranial pressure monitoring, a treatment scheme can be adjusted in time, and serious complications of cerebral hernia are prevented; meanwhile, the concentration change of oxyhemoglobin and deoxidized hemoglobin in the brain tissue is monitored through the brain oxygen saturation monitor by utilizing a near infrared spectrum technology, and the oxygenation state of the brain tissue is accurately reflected. Brain oxygen saturation monitoring is beneficial for guiding oxygen therapy and ventilation therapy and optimizing oxygen supply and oxygen consumption balance of brain tissue. The optimization system for the cerebral protection mechanism of the ischemic-hypoxic encephalopathy after the cardio-pulmonary resuscitation operation can remarkably reduce the degree of brain injury, promote neural function recovery and reduce the case fatality rate and disability rate of a patient.

The invention relates to a method and device for analyzing visual and neural function changes after visual training, and relates to the technical field of visual neural function evaluation.The method comprises the steps that in the visual training process of a target object, visual brain physiological data of different training groups and trained binocular visual functions are synchronously collected through EEG-fNIRS, and the visual brain physiological data are obtained; the method comprises the following steps of: acquiring physiological data signals, performing preprocessing and feature extraction on the acquired physiological data signals to obtain corresponding signal features, performing analysis based on the extracted signal features to determine a first analysis result and a second analysis result, and finally analyzing dynamic interaction of electroencephalogram and brain oxygen by utilizing EEG-fNIRS in combination with the two analysis results and binocular visual functions. According to the method, the change analysis result of the visual and neurological functions after visual training is obtained, the examination of organically combining the traditional visual function with the neurological function is realized, the improvement of the visual function is analyzed, and the influence of the visual function on the brain function can be revealed from the neurophysiology level.