基于相空间、熵和复杂度变化的表面肌电信号分析

Analysis of surface EMG signals based on the change of phase space,entropy and complexity

采集20名男性实验对象在静态背伸疲劳负荷试验和动态等长负荷试验中的表面肌电信号,用混沌、分形理论的方法处理肌电信号、周期信号、随机信号,研究它们的延迟时间、重构相空间、熵值和复杂度等非线性指标的变化规律和特点.结果发现,表面肌电信号的延迟时间、重构相空间、熵值和复杂度等各种非线性特性均介于周期信号和随机信号之间,表现出混沌信号的特征.

Ten male subjects took part in BST and other 10 male subjects performed dynamic and isometric exercise. SEMG signal were recorded from L3-L4 and L5-S1 during lumbar muscle activities. Periodic signal, random signal and sEMG signal were processed based on chaos and fractal theory. The regularity of change and characteristics of sEMG were obtained by comparing delayed time, phase space, entropy and complexity of periodic signal, random sig nal and sEMG signal. The results showed that nonlinear characteristics such as delayed time, phase space, entropy and complexity of sEMG were between those of periodic signal and random signal. SEMG is a kind of chaos signal.