FEATURE EXTRACTION OF SURFACE EMG SIGNAL
The method selection for feature extraction of surface EMG signals is very important for further classification of them. The appropriate extraction methods must provide good classification at relatively small computation and the reliable anti-interference. Only when the method is properly selected, the extracted feature vectors can accurately correspond to different lower limb movements. Among many feature extraction methods with the advantages and disadvantages, there are the time domain analysis method, the frequency domain analysis method and the time-frequency domain combination methods. In this study, a comparative experiment was conducted on the three feature extraction methods to select the most appropriate method.