Stroke rehabilitation evaluation method based on electroencephalogram and electromyographic signal wavelet coherence coefficients

Abstract

The invention discloses a stroke rehabilitation evaluation method based on electroencephalogram and electromyographic signal wavelet coherence coefficients, and belongs to the technical field of rehabilitation medicine. The problems that traditional rehabilitation treatment of a stroke patient is restricted by subjective clinical experience of a therapist at present, and the rehabilitation progress of the patient is difficult to reflect in real time are solved. By constructing an extraction scheme of combining electroencephalogram signals with electromyographic signals, the electroencephalogram signals and the electromyographic signals are processed and analyzed, signal features are extracted to recognize movement related information, the rehabilitation stage condition of a patient in a real-time state is obtained, and rehabilitation evaluation based on the electroencephalogram signals and the electromyographic signals is achieved. According to the method, reference indexes are provided for follow-up rehabilitation scheme making by analyzing relevance between coherence of deltoid muscle sEMG signals of patients and corresponding brain region EEG signals and upper limb motion function recovery, the patients in the middle stage of stroke recovery and the patients in the later stage of stroke recovery are classified on the basis of wavelet coherence coefficients, a dichotomy evaluation model is constructed, and the classification accuracy reaches 88.9% + / -4.9%.

Description

technical field [0001] The invention relates to a stroke rehabilitation evaluation method based on brain electricity and electromyography signals, in particular to a stroke rehabilitation evaluation method based on brain electricity signal wavelet coherence coefficient, and belongs to the technical field of rehabilitation medicine. Background technique [0002] Stroke refers to a clinical syndrome in which acute cerebrovascular circulation disorder caused by various reasons leads to focal neurological deficits in the cerebral hemisphere 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 long been considered the leading cause of death and long-term disability in the world. [0003] When a patient has a stroke, the interruption of blood supply to the brain, the increase in intracranial pressure, and the t...

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Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that the current traditional rehabilitation treatment of stroke patients is restricted by the therapist’s subjective clinical experience, and it is difficult to reflect the progress of the patient’s rehabilitation in real time, and to provide a stroke rehabilitation evaluation method based on the wavelet coherence coefficient of the brain electromyography signal , by analyzing the correlation between the patient's deltoid muscle sEMG signal and the coherence of the corresponding brain region EEG signal and the recovery of upper limb motor function, it provides a reference index for the follow-up rehabilitation plan, and based on the wavelet coherence coefficient for stroke recovery mid-term and stroke recovery Classify the two types of patients in the later stage, extract the optimal features and use them to train the offline model, and establish a binary classification evaluation model through feature classification and recognition, so as to achieve high classification accuracy for the post-stroke recovery and middle-stroke recovery

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