基于小波变换的肌电信号的多尺度分解

The Multi-Scale Decomposition of EMG Based on Wavelet Transform

肌电信号作为康复机器人的驱动源,是目前热点研究方向之一.选择了Daubechies小波变换,对多通道肌电信号进行多尺度分解,并提取出能表征各通道肌电信号特性的特征矢量,识别出各通道的信息,提供了有效的多通道肌电信号识别技术,从而提高了肌电信号识别效果.

The EMG signal is one of the focus research field at present as the driving source of rehabilitating robot.Using the method of Daubechies wavelet transform,take the multi-scale decomposition technique to analyze multi-channels EMG signal,and distill the feature vector of every channel EMG signal.So the technology can to identify information of every channel EMG and presents a new method to availably identify the muti-channel EMG. Thus it can enhance the identification effect of the EMG signal.