Brain rehabilitation management method, system, equipment and medium

Abstract

The invention relates to the technical field of health management, in particular to a brain rehabilitation management method, system and device and a medium, and the system comprises a head ring device which is used for collecting an electroencephalogram signal and a blood oxygen signal of a target patient; the main control box is connected with the head ring device, determines electroencephalogram characteristic information based on the electroencephalogram signals and determines an average value of blood oxygen saturation based on the blood oxygen signals; based on the electroencephalogram characteristic information and the blood oxygen saturation average value, a cognitive function evaluation result of the target patient is determined; generating a magnetoelectric stimulation rehabilitation scheme based on the cognitive function evaluation result; and the stimulation training device is connected with the main control box and is used for generating a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation scheme, evaluating the cognitive function of a patient before the magnetoelectric stimulation instrument is started for stimulation, and generating a corresponding magnetoelectric stimulation rehabilitation scheme according to the cognitive function evaluation result, so that targeted training is realized, and the rehabilitation effect of the patient is improved. The rehabilitation efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of health management systems, and in particular to a brain rehabilitation management method, system, equipment and medium. Background Art

[0002] In recent years, a variety of emerging electrical and magnetic stimulation technologies have been gradually used in brain rehabilitation training, including surface neuromuscular electrical stimulators (for target muscles or acupoints), transcranial direct current stimulators, etc., which activate the brain nervous system from the central nervous system to the peripheral nerves, thereby assisting brain rehabilitation.

[0003] However, when these instruments are used for stimulation training, it is impossible to effectively formulate corresponding stimulation plans for different patients. The intensity of stimulation that the patient can withstand is often controlled. This not only leads to poor stimulation training effects, but is also not conducive to brain rehabilitation.

[0004] Therefore, how to improve the targetedness of brain rehabilitation stimulation to improve rehabilitation efficiency is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the above problems, the present invention provides a brain rehabilitation management method, system, device and medium that overcome the above problems or at least partially solve the above problems.

[0006] In a first aspect, the present invention provides a brain rehabilitation management system, comprising:

[0007] A headband device used to collect EEG signals and blood oxygen signals of the target patient;

[0008] A main control box connected to the headband device, used to determine EEG characteristic information based on the EEG signal, and determine the average blood oxygen saturation value based on the blood oxygen signal; and determine the cognitive function evaluation result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; and generate a magnetic and electric stimulation rehabilitation program based on the cognitive function evaluation result;

[0009] The stimulation training device is connected to the main control box and is used to generate a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program.

[0010] Preferably, the headband device comprises:

[0011] Ring-shaped housing, EEG signal acquisition module, blood oxygen signal acquisition module, control chip, transmission module and power module;

[0012] A plurality of paired electrode sheets are arranged inside the annular shell, and the plurality of paired electrode sheets are connected to an EEG signal acquisition module and a blood oxygen information acquisition module. A control chip is connected to the EEG signal acquisition module, the blood oxygen signal acquisition module, the transmission module and the power module.

[0013] Preferably, the stimulation training device is specifically:

[0014] Neuromuscular electrical stimulator and / or transcranial electrical stimulator.

[0015] Preferably, the main control box is used for:

[0016] Based on the EEG signal, determining EEG feature information by feature extraction, wherein the EEG feature information includes time domain features and frequency domain features;

[0017] Based on the blood oxygen signal, an average blood oxygen saturation value is determined according to a mean value algorithm.

[0018] Preferably, the main control box is also used for:

[0019] Acquire a cognitive function assessment model, wherein the cognitive function assessment model is trained based on historical EEG signals, historical blood oxygen signals, and historical cognitive function assessment results of historical patients;

[0020] The EEG characteristic information and the average blood oxygen saturation value are input into the cognitive function evaluation model, and the cognitive function evaluation result of the target patient is output.

[0021] Preferably, the stimulation training device is used for:

[0022] Based on the magnetoelectric stimulation rehabilitation program, the frequency, intensity, stimulation site and time of the magnetoelectric stimulation signal are determined.

[0023] Preferably, it also includes: a risk management module, which is used to:

[0024] Based on the cognitive function assessment results of the target patient, a corresponding rehabilitation guidance video is provided to provide guidance and suggestions to any caregiver among medical staff, family members and patients.

[0025] In a second aspect, the present invention provides a brain rehabilitation management method, comprising:

[0026] Collect EEG signals and blood oxygen signals of target patients;

[0027] Based on the EEG signal, determining EEG characteristic information;

[0028] Based on the blood oxygen signal, determine an average blood oxygen saturation value;

[0029] Determine a cognitive function assessment result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value;

[0030] generating a magnetic and electrical stimulation rehabilitation program based on the cognitive function assessment results;

[0031] Based on the magnetoelectric stimulation rehabilitation program, a magnetoelectric stimulation signal is generated.

[0032] In a third aspect, the present invention further provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps described in the second aspect when executing the program.

[0033] In a fourth aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, which implements the steps described in the second aspect when executed by a processor.

[0034] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0035] The present invention provides a brain rehabilitation management system, comprising: a headband device, used to collect EEG signals and blood oxygen signals of a target patient; a main control box, connected to the headband device, for determining EEG characteristic information based on the EEG signal, and for determining an average blood oxygen saturation value based on the blood oxygen signal; and for determining a cognitive function evaluation result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; and for generating a magnetoelectric stimulation rehabilitation program based on the cognitive function evaluation result; a stimulation training device, connected to the main control box, for generating a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program, by evaluating the patient's cognitive function before starting the magnetoelectric stimulator to stimulate, and generating a corresponding magnetoelectric stimulation rehabilitation program based on the cognitive function evaluation result, so that targeted training can improve the efficiency of rehabilitation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Also, throughout the accompanying drawings, the same reference figures are used to represent the same components. In the drawings:

[0037] Figure 1 It shows a schematic diagram of the structure of a brain rehabilitation management system according to an embodiment of the present invention;

[0038] Figure 2 A schematic diagram of the structure of a headband device in an embodiment of the present invention is shown;

[0039] Figure 3A schematic diagram of the steps of the brain rehabilitation management method in an embodiment of the present invention is shown;

[0040] Figure 4 A schematic diagram of the structure of a computer device for implementing a brain rehabilitation management method in an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0041] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0042] Embodiment 1:

[0043] An embodiment of the present invention provides a brain rehabilitation management system, such as Figure 1 As shown, including:

[0044] A headband device 101 is used to collect EEG signals and blood oxygen signals of a target patient;

[0045] The main control box 102 is connected to the headband device 101 and is used to determine the EEG characteristic information based on the EEG signal and the average blood oxygen saturation value based on the blood oxygen signal; and to determine the cognitive function evaluation result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; and to generate a magnetic and electric stimulation rehabilitation program based on the cognitive function evaluation result;

[0046] The stimulation training device 103 is connected to the main control box 102 and is used to generate a magneto-electric stimulation signal based on a magneto-electric stimulation rehabilitation program.

[0047] In the process of brain rehabilitation training, various sensory stimulation methods can be used. Sensory stimulation therapy can stimulate the regeneration and functional remodeling of brain neurons, thereby accelerating the patient's recovery process. The present invention mainly uses magnetic and electric stimulation to conduct rehabilitation training, providing an effective rehabilitation program for patients who are unconscious and unable to move.

[0048] First, if Figure 2 As shown, the headband device 101 can collect EEG signals and blood oxygen signals of a target patient. Specifically, the headband device 101 includes: an annular housing 201, an EEG signal collection module 202, a blood oxygen signal collection module 203, a control chip 204, a transmission module 205 and a power module 206.

[0049] Among them, the annular shell 201 can be fixed to the head of the target patient, and a plurality of groups of paired electrode sheets are arranged on the inner side of the annular shell 201, and the plurality of groups of paired electrode sheets are connected to the EEG signal acquisition module 202 and the blood oxygen signal acquisition module 203, and the control chip 204 is connected to the EEG signal acquisition module 202, the blood oxygen signal acquisition module 203, the transmission module 205 and the power supply module 206.

[0050] Multiple sets of paired electrode sheets are attached to the head of the target patient, and the real-time EEG signal and blood oxygen signal of the target patient are collected by contact. The control chip 204 controls the transmission of the EEG signal collected by the EEG signal collection module 202 and the blood oxygen signal collected by the blood oxygen signal collection module 203 through the transmission module 205. The transmission module 205 here can use a Bluetooth module or other short-distance transmission methods. The power module 206 can supply power to the control chip 204 and the like.

[0051] After the EEG signal and the blood oxygen signal are collected, they are transmitted to the main control box 102 through the transmission module 205. The main control box 102 is used to determine the EEG characteristic information based on the EEG signal and determine the average blood oxygen saturation value based on the blood oxygen signal.

[0052] Specifically, the main control box 102 determines EEG feature information based on the EEG signal through feature extraction, and the EEG feature information includes time domain features and frequency domain features; and determines the average blood oxygen saturation value based on the blood oxygen signal according to the mean algorithm.

[0053] Among them, before extracting EEG features from EEG signals, the EEG signals need to be preprocessed, such as denoising through a bandpass filter, etc. Then, the time domain signal and the frequency domain signal are extracted from the preprocessed EEG signals, and then the time domain features are extracted from the time domain signals, and the frequency domain features are extracted from the frequency domain signals.

[0054] For the blood oxygen signal, the average value of blood oxygen saturation is determined according to the mean algorithm. Blood oxygen saturation is the value of oxygenated hemoglobin in the blood divided by the value of all hemoglobin that can be combined in the blood, multiplied by 100%. Under normal circumstances, the human arterial blood oxygen saturation is about 98%, and the human venous blood oxygen saturation is about 75%. The blood oxygen saturation is closely related to the patient's brain rehabilitation.

[0055] The calculation formula for the average blood oxygen saturation is as follows:

[0056] Among them, s i is the blood oxygen saturation value of the ith sampling point, N is the sampling frequency within the preset time period, and S is the average blood oxygen saturation value within the preset time period.

[0057] After obtaining the EEG characteristic information and the average blood oxygen saturation value, the main control box 102 is further used to:

[0058] Obtain a cognitive function assessment model, which is trained based on historical EEG signals, historical blood oxygen signals, and historical cognitive function assessment results of historical patients;

[0059] The EEG feature information and the average blood oxygen saturation value are input into the cognitive function assessment model, and the cognitive function assessment results of the target patients are output.

[0060] First, collect a large number of historical EEG signals, historical blood oxygen signals, and historical cognitive function evaluation results of historical patients. Then process the historical EEG signals and historical blood oxygen signals to obtain historical EEG feature information and historical blood oxygen saturation average values. Among them, the historical EEG feature information and historical blood oxygen saturation average values ​​of historical patients are used as input data, and the historical cognitive function evaluation results are used as output data. The historical cognitive function evaluation results here can be the results of manual evaluation by medical staff.

[0061] Next, both the input data and the output data are input into the neural network model for training to obtain a cognitive function evaluation model. Of course, a portion of the historical EEG signals, historical blood oxygen signals, and corresponding historical cognitive function evaluation results are retained in the sample as test data. The cognitive function evaluation model is tested with the test data to continuously optimize the cognitive function evaluation model.

[0062] After obtaining the optimized cognitive function assessment model, the EEG characteristic information and the average blood oxygen saturation value of the target patient are input into the cognitive function assessment model to obtain the cognitive function assessment result of the target patient.

[0063] The results of the cognitive function assessment can be divided into 8 levels: Level I, no response, the patient is generally in a deep coma and does not respond to any stimulation; Level II, general response, the patient shows uncoordinated and purposeless response to stimulation without a specific method, which is unrelated to the stimulation; Level III, local response, the patient responds to special stimulation, but it is uncoordinated with the stimulation, the response is directly unrelated to the type of stimulation, and simple instructions are executed in an uncoordinated and delayed manner; Level IV, irritable response, the patient is in an agitated state, behaves strangely and purposelessly, cannot cooperate with treatment, and the speech is often irrelevant or inappropriate to the environment, and fictitious speech occurs. Grade V, disorganized response, patients can achieve fairly consistent responses to simple and clear commands, but as the complexity of commands increases or there is a lack of external structure, the response becomes purposeless, random or fragmented; they can show general attention to the environment, but their energy is scattered, they lack the ability to pay special attention, their words are often inappropriate and they are chatty, and their memory is seriously impaired, often showing inappropriate use of objects; Grade VI, appropriate response, patients show purpose-related behavior, but they rely on external input and guidance, follow simple instructions, and their past memories are deeper and more detailed than their current memories. Grade VII, autonomous response, autonomous response, patients behave appropriately in the hospital or at home, can carry out daily life activities independently, rarely make mistakes, but are relatively mechanical, have superficial recollection of activities, can carry out new interactions, but at a slow speed, can initiate social or recreational activities with the help of structure, and their judgment is still impaired. Grade VIII: Purposeful response: The patient is able to recall and integrate past and recent events, is aware of and responsive to the environment, and is able to engage in new learning. Once learning activities begin, no monitoring is required, but the patient has not yet fully recovered to pre-onset abilities, such as abstract thinking, tolerance to stress, and judgment of emergency or unusual situations.

[0064] After determining the cognitive function assessment result of the target patient, the main control box 102 also generates a magnetic-electric stimulation rehabilitation program based on the cognitive function assessment result.

[0065] According to different cognitive function assessment results, different parts of the body need magnetic and electric stimulation. For patients with high cognitive function assessment results, only local stimulation is needed. By combining with traditional Chinese medicine theory, suitable acupoints can be found, and magnetic and electric stimulation can be performed on the patient's limb muscles or brain acupoints. For patients with low cognitive function assessment results, overall stimulation training is required. Not only does traditional Chinese medicine theory need to support the provision of suitable acupoints, but also overall magnetic and electric stimulation training is required for both limb muscles and brain acupoints. During the training process, the limb muscles can be stimulated first, and after a period of stimulation training, stimulation training of the brain acupoints can be performed, and the stimulation order is set according to the specific situation.

[0066] The stimulation training device can be a neuromuscular electrical stimulator and / or a transcranial electrical stimulator. These stimulation training devices are mainly magnetoelectric stimulation pole pieces and a generator that emits magnetoelectric pulse signals, and the magnetoelectric stimulation pole pieces are reasonably arranged on the muscles or brain of the target patient.

[0067] Among them, in order to improve the effect of stimulation training, we can combine traditional Chinese medicine theory and find suitable traditional Chinese medicine acupoints for stimulation, which can achieve twice the result with half the effort.

[0068] For example, acupoints such as Neiguan, Hegu, and Zusanli on the human body can effectively improve the efficiency of brain rehabilitation.

[0069] The stimulation training device 103 is used to determine the frequency, intensity, stimulation site and time of the magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program.

[0070] For different magnetic and electric stimulation rehabilitation programs, first of all, the stimulation sites are different, and the stimulated acupoints are also different. Reasonable planning is required here, and medical staff are required to assist in arranging the application positions of the magnetic and electric stimulation electrodes. After applying the magnetic and electric stimulation electrodes, the frequency, intensity and time of the magnetic and electric stimulation signals are controlled. For example, high-frequency magnetic and electric stimulation signals are suitable for regulating nerve conduction, while low-frequency magnetic and electric stimulation signals are suitable for stimulating muscle contraction, etc.

[0071] By evaluating cognitive function, a targeted magnetic and electrical stimulation rehabilitation program is generated, greatly improving rehabilitation efficiency.

[0072] The system also includes: a risk management module, which is used to: provide corresponding rehabilitation guidance videos based on the cognitive function assessment results of the target patients, so as to provide guidance and suggestions to any caregiver among medical staff, family members and patients.

[0073] This risk management module is a passive management method. For users using the system, by watching the rehabilitation guidance video and selecting rehabilitation guidance videos with the same cognitive function assessment level as the target patient to watch and study, mistakes in stimulation training can be effectively avoided.

[0074] The system can be applied to the brain rehabilitation process of various brain diseases, such as stroke, brain trauma, Parkinson's disease, depression, etc. By precisely regulating multiple areas of the brain, the patient's neurological function can be improved and the quality of life can be improved.

[0075] The present invention can also develop a corresponding APP to record the above-mentioned evaluation results, magnetic and electric stimulation rehabilitation programs, and risk management videos on a corresponding management platform to achieve personalized management.

[0076] One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages:

[0077] The present invention provides a brain rehabilitation management system, comprising: a headband device, used to collect EEG signals and blood oxygen signals of a target patient; a main control box, connected to the headband device, for determining EEG characteristic information based on the EEG signal, and for determining an average blood oxygen saturation value based on the blood oxygen signal; and for determining a cognitive function evaluation result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; and for generating a magnetoelectric stimulation rehabilitation program based on the cognitive function evaluation result; a stimulation training device, connected to the main control box, for generating a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program, by evaluating the patient's cognitive function before starting the magnetoelectric stimulator to stimulate, and generating a corresponding magnetoelectric stimulation rehabilitation program based on the cognitive function evaluation result, so that targeted training can improve the efficiency of rehabilitation.

[0078] Embodiment 2:

[0079] Based on the same inventive concept, the embodiment of the present invention also provides a brain rehabilitation management method, which is applied to a brain rehabilitation management system. Figure 3 As shown, the method includes:

[0080] S301, collecting EEG signals and blood oxygen signals of a target patient;

[0081] S302, determining EEG characteristic information based on the EEG signal;

[0082] S303, determining an average blood oxygen saturation value based on the blood oxygen signal;

[0083] S304, determining a cognitive function assessment result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value;

[0084] S305, generating a magnetic and electrical stimulation rehabilitation program based on the cognitive function assessment result;

[0085] S306, generating a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program.

[0086] In an optional implementation, S302 includes: determining EEG feature information based on the EEG signal by feature extraction, wherein the EEG feature information includes time domain features and frequency domain features.

[0087] In an optional implementation, S303 includes: determining an average blood oxygen saturation value based on the blood oxygen signal according to a mean algorithm.

[0088] In an optional implementation, S304 includes:

[0089] Acquire a cognitive function assessment model, wherein the cognitive function assessment model is trained based on historical EEG signals, historical blood oxygen signals, and historical cognitive function assessment results of historical patients;

[0090] The EEG characteristic information and the average blood oxygen saturation value are input into the cognitive function evaluation model, and the cognitive function evaluation result of the target patient is output.

[0091] In an optional implementation, S306 includes:

[0092] Based on the magnetoelectric stimulation rehabilitation program, the frequency, intensity, stimulation site and time of the magnetoelectric stimulation signal are determined.

[0093] In an optional implementation, it also includes:

[0094] Based on the cognitive function assessment results of the target patient, a corresponding rehabilitation guidance video is provided to provide guidance and suggestions to any caregiver among medical staff, family members and patients.

[0095] Embodiment three:

[0096] Based on the same inventive concept, an embodiment of the present invention provides a computer device, such as Figure 4 As shown, it includes a memory 404, a processor 402, and a computer program stored in the memory 404 and executable on the processor 402. When the processor 402 executes the program, the steps of the above-mentioned brain rehabilitation management method are implemented.

[0097] Among them, Figure 4 In the embodiment of the present invention, a bus architecture (represented by bus 400) is shown, which may include any number of interconnected buses and bridges, and bus 400 links various circuits including one or more processors represented by processor 402 and memory represented by memory 404. Bus 400 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. Bus interface 406 provides an interface between bus 400 and receiver 401 and transmitter 403. Receiver 401 and transmitter 403 may be the same element, namely a transceiver, providing a unit for communicating with various other devices over a transmission medium. Processor 402 is responsible for managing bus 400 and general processing, while memory 404 may be used to store data used by processor 402 when performing operations.

[0098] Embodiment 4:

[0099] Based on the same inventive concept, an embodiment of the present invention provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the steps of the above-mentioned brain rehabilitation management method are implemented.

[0100] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0101] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0102] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, the various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting the following intention: that the claimed invention requires more features than the features explicitly recorded in each embodiment. More specifically, as reflected in each embodiment, the inventive aspects lie in less than all the features of the single embodiment disclosed above. Therefore, the claims that follow the specific embodiment are hereby expressly incorporated into the specific embodiment, with each claim itself serving as a separate embodiment of the present invention.

[0103] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0104] In addition, those skilled in the art will appreciate that, although some embodiments herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in a specific embodiment, any one of the claimed embodiments may be used in any combination.

[0105] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It should be understood by those skilled in the art that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all functions of some or all components of a brain rehabilitation management system and a computer device according to an embodiment of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may have the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0106] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A brain rehabilitation management system, characterized in that: include: A headband device, used to collect EEG signals and blood oxygen signals of the target patient; A main control box connected to the headband device, used to determine EEG characteristic information based on the EEG signal, and determine the average blood oxygen saturation value based on the blood oxygen signal; and determine the cognitive function evaluation result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; and generate a magnetic and electric stimulation rehabilitation program based on the cognitive function evaluation result; The stimulation training device is connected to the main control box and is used to generate a magnetoelectric stimulation signal based on the magnetoelectric stimulation rehabilitation program.

2. The system according to claim 1, characterized in that The headband device comprises: Ring housing, EEG signal acquisition module, blood oxygen signal acquisition module, control chip, transmission module and power module; A plurality of paired electrode sheets are arranged inside the annular shell, and the plurality of paired electrode sheets are connected to an EEG signal acquisition module and a blood oxygen information acquisition module. A control chip is connected to the EEG signal acquisition module, the blood oxygen signal acquisition module, the transmission module and the power module.

3. The system according to claim 1, characterized in that The stimulation training device is specifically: Neuromuscular electrical stimulator and / or transcranial electrical stimulator.

4. The system according to claim 1, characterized in that The main control box is used for: Based on the EEG signal, determining EEG feature information by feature extraction, wherein the EEG feature information includes time domain features and frequency domain features; Based on the blood oxygen signal, an average blood oxygen saturation value is determined according to a mean value algorithm.

5. The system according to claim 4, characterized in that The main control box is also used for: Acquire a cognitive function assessment model, wherein the cognitive function assessment model is trained based on historical EEG signals, historical blood oxygen signals, and historical cognitive function assessment results of historical patients; The EEG characteristic information and the average blood oxygen saturation value are input into the cognitive function evaluation model, and the cognitive function evaluation result of the target patient is output.

6. The system according to claim 1, wherein: The stimulation training device is used for: Based on the magnetoelectric stimulation rehabilitation program, the frequency, intensity, stimulation site and time of the magnetoelectric stimulation signal are determined.

7. The system according to claim 1, characterized in that Also includes: Risk management module for: Based on the cognitive function assessment results of the target patient, a corresponding rehabilitation guidance video is provided to provide guidance and suggestions to any caregiver among medical staff, family members and patients.

8. A brain rehabilitation management method, characterized in that: include: Collect EEG signals and blood oxygen signals of target patients; Based on the EEG signal, determining EEG characteristic information; Based on the blood oxygen signal, determine an average blood oxygen saturation value; Determine a cognitive function assessment result of the target patient based on the EEG characteristic information and the average blood oxygen saturation value; generating a magnetic and electrical stimulation rehabilitation program based on the cognitive function assessment results; Based on the magnetoelectric stimulation rehabilitation program, a magnetoelectric stimulation signal is generated.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method as claimed in claim 8 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method as claimed in claim 8 is implemented.

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