Segmentation of surface EMG signals

This paper compares two different approaches to electromyographic (EMG) segmentation for the purpose of muscle activation pattern identification. A widely known linear EMG envelope technique is compared with a newly designed method based on marker detection in a video. The results are evaluated by comparison of the muscle activity intervals. The experiments show that the video-based technique can achieve similar results to the EMG envelope. The EMG segmentation based on the video processing is more robust for segmentation of various types of EMG signal.