Hemiplegic upper limb function evaluation and recovery prediction method for stroke patient

Abstract

The invention belongs to the technical field of health monitoring, and discloses a cerebral apoplexy patient hemiplegic upper limb function evaluation and recovery prediction method which comprises the steps that a patient wears an electroencephalogram signal acquisition unit, a visual signal unit and a data processing unit, and the electroencephalogram signal acquisition unit continuously acquires electroencephalogram signals of the patient in real time through an electroencephalogram cap; signals are decorated in a wired or wireless mode and transmitted to the data processing unit with extremely low time delay, the visual signal unit is arranged right in front of a patient and can send upper limb movement signals to the patient through displays in different forms, and the data processing unit draws different event-related electroencephalogram signal graphs through marks of the visual signal unit. By knowing the upper limb motion control process and the brain control mechanism of the stroke patient, evaluating the upper limb function level and the future track of future recovery of the patient, deciding the upper limb function rehabilitation training strategy in advance, training the compensatory function or the non-compensatory function, and improving the upper limb function rehabilitation efficiency of the patient. Medical professionals can make decisions in advance and make personalized rehabilitation training plans.

Description

Technical Field

[0001] The invention belongs to the technical field of health monitoring, and specifically relates to a method for evaluating and predicting the function of upper limbs of hemiplegic stroke patients. Background Art

[0002] Stroke refers to a clinical syndrome caused by acute cerebrovascular circulation disorders due to various reasons, leading to focal neurological deficits in the cerebral hemispheres or brainstem, commonly known as stroke. China is one of the countries with the highest incidence of stroke in the world, and the average age of stroke onset is gradually getting younger. Cerebral hemorrhage or infarction has always been considered the leading cause of death and long-term disability in the world. A comprehensive study conducted by the World Health Organization shows that about 15 million people suffer from stroke each year worldwide, of which about 50% experience weakened behavioral ability on one side of the body, greatly reducing the patient's ability to carry out daily activities.

[0003] The deep learning-based unconscious hand movement recognition method for stroke patients published with application number CN202210809560.6 evaluates and predicts hand function through deep learning and unconscious recognition methods based on hand movements. However, this application cannot understand the actual control status of the brain control center, whether it is in compensatory control of the ipsilateral brain or normal control of the contralateral brain; Application number CN202110168009.3 published a stroke rehabilitation assessment method based on the wavelet coherence coefficient of brain-electromyographic signals. The wavelet coherence coefficient of brain-muscle signals (deltoid muscle surface electromyography sEMG signal and corresponding brain area electroencephalogram (EEG) signal) is used to classify the upper limb function of stroke. However, the application cannot accurately predict the recovery of upper limb function. Summary of the invention

[0004] The purpose of the present invention is to provide a method for evaluating and predicting the recovery of upper limb function in hemiplegic stroke patients, so as to solve the problem that traditional identification and evaluation methods cannot understand the actual control situation of the brain control center, whether it is in compensatory control of the ipsilateral brain or normal control of the contralateral brain, and cannot accurately predict the recovery of upper limb function.

[0005] In order to achieve the above object, the present invention provides the following technical solution: a method for evaluating and predicting the recovery of upper limb function in stroke patients with hemiplegia, comprising the following steps: Sp1: The patient wears an EEG signal acquisition unit, which continuously collects the patient's EEG signals in real time through an EEG cap, and transmits the signals to the data processing unit with extremely low latency through wired or wireless methods; Sp2: The visual signal unit is located in front of the patient. The unit can send upper limb movement signals to the patient through different forms of displays. The display can be a head-mounted display, a projection display, an ordinary computer or a TV display. Each time the visual signal unit issues a command, different events are marked on the continuously recorded EEG signal time sequence through the data processing unit, including visual command sending and movement command sending; Sp3: The data processing unit draws different event-related EEG signal graphs through the markings of the visual signal unit, and the visual signal unit and the EEG signal acquisition unit always keep the same clock through the data processing unit; Sp4: The data processing unit controls the visual signal unit and the EEG signal acquisition unit, guides the stroke patient to repeat the movement instructions issued by the visual signal unit for multiple times, and superimposes the EEG performances of multiple movement execution processes, performs averaging processing, and obtains a more stable EEG change pattern. The number of repetitions is set according to demand; Sp5: Through stable EEG signals, the data processing unit calculates the patient's compensation index.

[0006] Preferably, the movement instructions include immediate movement instructions and delayed movement instructions.

[0007] Preferably, the visual signal unit and the electroencephalogram signal acquisition unit always keep the same clock through the data processing unit.

[0008] Preferably, the compensation index includes the healthy side movement compensation index and the affected side movement compensation index during immediate movement, the healthy side movement preparation compensation index and the affected side movement preparation compensation index during delayed movement, and the healthy side compensation index and the affected side compensation index during delayed movement execution.

[0009] Preferably, the means used in the compensation index are all motor potentials, and the motor potentials are the mean or peak values ​​of the potentials of the corresponding brain regions within the observation time range after superposition.

[0010] Preferably, the compensation index is set as the ratio of the difference between the contralateral motor potential and the ipsilateral motor potential to the sum of the contralateral motor potential and the ipsilateral potential.

[0011] The beneficial effects of the present invention are as follows: The present invention understands the upper limb movement control process and brain control mechanism of stroke patients, assesses the upper limb function level of patients, and decides in advance the strategy of upper limb function rehabilitation training, whether to train compensatory function or non-compensatory function, so as to improve the efficiency of upper limb function rehabilitation of patients. Through this prediction, medical professionals can make decisions in advance and develop personalized rehabilitation training plans. By accurately identifying which patients are more likely to benefit from specific types of training, medical professionals can allocate resources more effectively and provide patients with more targeted treatment, which can not only improve the success rate of rehabilitation, but also shorten the rehabilitation time, reduce the economic burden on patients and medical insurance, and improve their quality of life. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a brain wave signal diagram of the instant instruction of the present invention; Figure 2 This is a diagram of the electroencephalogram (EEG) signal during the delayed instruction of the present invention. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Example: like Figure 1 to Figure 2 The embodiment of the present invention provides a method for evaluating and predicting the function of upper limbs in stroke patients with hemiplegia, comprising the following steps: Sp1: The patient wears an EEG signal acquisition unit, which continuously collects the patient's EEG signals in real time through an EEG cap, and transmits the signals to the data processing unit with extremely low latency through wired or wireless methods; Sp2: The visual signal unit is located in front of the patient. The unit sends upper limb movement signals to the patient through different forms of displays. The display can be a head-mounted display, a projection display, an ordinary computer or a TV display. Each time the visual signal unit issues a command, different events are marked on the continuously recorded EEG signal time sequence through the data processing unit, including visual command sending and movement command sending. The sent movement signal instructions have two forms, including immediate movement instructions. After the patient sees the upper limb movement instructions displayed on the display, he should immediately perform the corresponding movement. The movement instructions here may be simple single-joint movements, such as wrist raising movements, or multi-joint compound movements, such as simulated drinking water movements; delayed movement instructions are also included. After the patient sees the upper limb movement prompts displayed by the display, he first prepares for movement or observes the movement, and waits for the next instruction that can be started at any time, and then performs single-joint movement or multi-joint compound movement of the upper limb. The form of the movement signal instructions sent by the visual signal unit can be fixed, such as always using immediate movement instructions or always using delayed movement instructions, or can be changed according to a preset combination, randomly, or regularly, such as appearing at intervals; Sp3: The data processing unit draws different event-related EEG signal graphs through the markings of the visual signal unit, and the visual signal unit and the EEG signal acquisition unit always keep the same clock through the data processing unit; like Figure 1 , with C3, Cz, and C4 as observation points of interest (C3 is the left side of the brain, which is responsible for controlling the right upper limb in normal anatomy; C4 is the right side of the brain, which is responsible for controlling the left upper limb in normal anatomy; Cz is the connection area between the left and right sides of the brain), Figure 1 The middle curve represents the biopotential amplitude of the corresponding area. Compared with the baseline level, the higher the amplitude, the higher the activation degree of the area. Figure 1 This is the EEG performance during immediate instruction. If the right upper limb moves (C3 is the main control area potential in anatomy), Figure 1 It means that the patient's upper limb movement is mainly controlled by the normal contralateral (left) brain, with less involvement of the ipsilateral C4 area, and the patient's functional recovery is better. Conversely, if this graph appears when the left upper limb moves (C4 is the anatomical main control area potential), it means that the patient's upper limb movement control is mainly completed by the ipsilateral (left) brain compensation, with less involvement of the contralateral C4 area, and the patient's functional recovery is poor. From high to low in the graph, they are Cz, C3, and C4.

[0015] like Figure 2 As for the EEG performance during delayed instructions, there is an EEG pattern similar to the normal movement execution process between the visual signal unit sending the movement preparation prompt and the movement instruction, and before the actual movement is performed, the potential of the relevant brain area can reach the amplitude of normal movement execution, which is Cz, C4, and C3 from high to low in the figure.

[0016] Sp4: The data processing unit controls the visual signal unit and the EEG signal acquisition unit, guides the stroke patient to repeat the movement instructions issued by the visual signal unit for multiple times, and superimposes the EEG performances of multiple movement execution processes, performs averaging processing, and obtains a more stable EEG change pattern. The number of repetitions is set according to demand; Sp5: Through stable EEG signals, the data processing unit calculates the patient's compensation index to simplify the understanding of the central nervous system usage during upper limb movement control after stroke. The compensation index includes the healthy side movement compensation index (CI-1) and the affected side movement compensation index (CI-2) during immediate movement, the healthy side movement preparation compensation index (CI-3) and the affected side movement preparation compensation index (CI-4) during delayed movement, and the healthy side compensation index (CI-5) and the affected side compensation index (CI-6) during delayed movement. The averages used here are all motor potentials (MP), which can be used to The mean or peak value of the potential of the corresponding brain area within the observation time range after superposition is used, where the compensation index calculated by the peak value is represented by the symbol ', that is, CI-1', CI-2', CI-3', CI-4', CI-5', and CI-6' correspond respectively. The calculation formula of the compensation index is CI=(contralateral MP-ipsilateral MP) / (contralateral MP+ipsilateral MP). The larger the negative value of the CI value, the stronger the compensatory function, and the worse the connection between the original anatomical control area and the functional nerves of the contralateral upper limb. The larger the positive value, the better the connection between the original anatomical control area and the functional nerves of the contralateral upper limb.

[0017] This data can assist rehabilitation professionals in judging the patient's potential for upper limb function recovery in the later stage based on clinical conditions (especially CI-2, CI-4, CI-6, CI-2', CI-4', and CI-6' related to the movement of the affected side). For example, in the early stage of the disease, the patient's CI values ​​are all positive and tend to increase gradually. The patient's upper limb function recovery potential is large, and non-compensatory training should be used more in the rehabilitation process. When the disease enters the chronic stage, the patient's CI values ​​are still stable negative, which means that the patient's upper limb function recovery potential is limited, and compensatory training should be used more in the rehabilitation process.

[0018] The patient's current non-compensatory recovery potential is predicted by percentage. The higher the percentage, the greater the recovery potential. The three prediction values ​​are calculated as [(CI-1)-(CI-2)] / (CI-1), [(CI-3)-(CI-)] / (CI-3), and [(CI-5)-(CI-6)] / (CI-5).

[0019] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0020] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating and predicting the recovery of upper limb function in stroke patients with hemiplegia, characterized in that: The following steps are involved: Sp1: The patient wears an EEG signal acquisition unit, which continuously collects the patient's EEG signals in real time through an EEG cap, and transmits the signals to the data processing unit with extremely low latency through wired or wireless methods; Sp2: The visual signal unit is located in front of the patient. The unit can send upper limb movement signals to the patient through different forms of displays. Each time the visual signal unit sends a command, different events will be marked on the continuously recorded EEG signal time sequence through the data processing unit, including visual command sending and movement command sending; Sp3: The data processing unit draws different event-related EEG signal graphs through the marking of visual signal units; Sp4: The data processing unit controls the visual signal unit and the EEG signal acquisition unit, guides the stroke patient to repeat the movement instructions issued by the visual signal unit for multiple times, and superimposes the EEG performance of multiple movement execution processes, performs averaging processing, and obtains a more stable EEG change pattern. The number of repetitions is set according to demand; Sp5: Through stable EEG signals, the data processing unit calculates the patient's compensation index.

2. The method for evaluating and predicting the upper limb function of stroke patients with hemiplegia according to claim 1, characterized in that: The motion instructions include immediate motion instructions and delayed motion instructions.

3. The method for evaluating and predicting the upper limb function of stroke patients with hemiplegia according to claim 1, characterized in that: The visual signal unit and the electroencephalogram signal acquisition unit always keep the same clock through the data processing unit.

4. The method for evaluating and predicting the upper limb function of stroke patients with hemiplegia according to claim 1, characterized in that: The compensation index includes the healthy side movement compensation index and the affected side movement compensation index during immediate movement, the healthy side movement preparation compensation index and the affected side movement preparation compensation index during delayed movement, and the healthy side compensation index and the affected side compensation index during delayed movement execution.

5. The method for evaluating and predicting the upper limb function of stroke patients with hemiplegia according to claim 1, characterized in that: The means used in the compensation index are all motor potentials, and the motor potentials are the mean or peak value of the potential of the corresponding brain area within the observation time range after superposition.

6. The method for evaluating and predicting the recovery of upper limb function in stroke patients with hemiplegia according to claim 4, characterized in that: The compensation index is set as the ratio of the difference between the contralateral motor potential and the ipsilateral motor potential to the sum of the contralateral motor potential and the ipsilateral potential.

Images