应用表面肌电信号对局部肌疲劳监测的研究

Study of local muscle fatigue monitoring bysurface myoelectric signal

为从表面肌电信号频谱中获取其中值频率,笔者设计了一个实时显示中值频率对收缩时间变化曲线的系统,采用经典快速傅里叶交换(FFT)算法来完成中值频率的估计,以监测局部肌疲劳.结果表明,对所有受试者随着肌肉持续收缩时间的延长,中值频率不断下降.

To acquire the median frequency from surface myoelectric signal spectrum,we designed a measuring system which could display the time course of the median frequency in real time so as to monitor local muscle fatigue, and used classic fast Fourier transform (FFT) algorithms to perform the estimation of the median frequency. The result showed that so long as the lasting muscle contraction extended, the median frequency descended unceasingly.