肌电信号的功率谱分析方法

Surface Electromyography Analytical Method Based on the Method of Power Spectrum

当用传统的检测方法对肌电信号 (EMG)进行处理时 ,会出现较大的个体差异 ,针对这一不足 ,我们对其在频域中作具体的分析 ,提出了一种新的表面肌电信号特征提取方法———功率谱比值法。并在非特定人的条件下 ,经过多次实验确定实际所用肌电信号的主要频率范围和功率谱的各项参数 ,将功率谱比值法应用于前臂肌群的表面EMG特征提取 ,减小了个体差异 ,进而实现非特定人的动作模式识别。

While surface electromyography(SEMG) using traditional disposal, the individual difference is obvious. For this reason, we provides a new feature extraction method to SEMG: Power Spectrum coefficient method. This method is suitable to the feature extraction of non-special-person. By calculated the parameters of Power Spectrum,we got the numerical value of Power Spectrum. The Power Spectrum coefficient method decreases the individual difference, and solves the non-special-person's recognition of the forearm movement.