Stroke patient neural rehabilitation assessment method based on electro-cerebral alpha sample entropies

Abstract

A stroke patient neural rehabilitation assessment method based on electro-cerebral alpha sample entropies comprises the steps of acquiring electro-cerebral signals under the quiescent condition; pre-processing electro-cerebral signal data; extracting alpha rhythm sample entropy characteristics of the electro-cerebral signals; establishing an alpha rhythm sample entropy database of the electro-cerebral signals; extracting the alpha sample entropies of the electro-cerebral signals of a stroke patient according to the steps, comparing the alpha sample entropies of the electro-cerebral signals of the stroke patient with the average level of neural rehabilitation conditions of the same rehabilitation periods in the established database, and judging the nervous system rehabilitation condition of the stroke patient; memorizing the alpha sample entropies of the electro-cerebral signals of the stroke patient into the established database after finishing assessment. The stroke patient neural rehabilitation assessment method acquires EEG signals of the stroke patient and extracts the alpha rhythm sample entropy characteristics, performs assessment on the nervous system rehabilitation condition of the stroke patient according to the characteristics, provides a reference basis for formulation of a stroke rehabilitation intervention treatment scheme, facilitates acceleration of patient rehabilitation process and improves the survival quality.

Description

technical field [0001] The invention relates to a method for quantitatively evaluating the neurological function recovery status of stroke patients. In particular, it relates to a neurorehabilitation evaluation method for stroke patients based on the entropy of EEG α rhythm samples. Background technique [0002] Stroke (stroke), commonly known as apoplexy, or cerebrovascular accident (CVA), is a clinical syndrome in which dysfunction of local brain regions occurs suddenly due to cerebrovascular lesions. There are more than 2 million new stroke patients in my country every year, and more than 1.5 million people die from stroke. At present, there are about 7 million stroke survivors, three-quarters of whom have sequelae of varying degrees, and severe disabilities account for about 40%. It has brought great mental pain and heavy economic burden to patients and families. According to the latest report of the World Health Organization, stroke is the third leading cause of death ...

AI Technical Summary

Problems solved by technology

At present, although a variety of scoring methods for the degree of neurological impairment have been tried at home and abroad, most of them have not been widely used clinically, and the methods for the diagnosis and rehabilitation evaluation of brain injury in stroke are still far from perfect

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