肌电信号的样本熵分析

The research of electromyographic signal based on Sample Entropy

基于肌肉在运动和处于不同状态时,其运动神经系统的动力学运动复杂性程度会出现差异,体表肌电信号也会产生变化。本文通过分析健康者,肌源性损伤和神经源性损伤患者的肌电信号,发现使用样本熵这样一个非线性动力学特征参数可以分析这几种肌电信号的特性。经实验验证样本熵能很好的把神经源性损伤肌电信号与其他两种区分开来,为肌电图的临床辅助诊断提供有力的依据。

Based on the principle that various complexity extents in motor nervous systems are present when muscle is in the status of contraction or others,in this study,sample entropy,a nonlinear dynamic parameter,is used for analyzing the characteristic of electromyographic signals in healthy volunteer,patients with muscle original damage or nervous original damage. Though trial validation,we found that sample entropy can well distinguish the difference in electromyographic signal between nervous original damage and other original damages,which provide powerful evidence for clinical assisted diagnosis.