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 c...

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Bibliographic Details
Main Authors: Sedlak, Jan, Spulak, Daniel, Cmejla, Roman, Bacakova, Radka, Chrastkova, Martina, Kracmar, Bronislav
Format: Conference Proceeding
Language:English
Subjects:
digital signal processing
Educational institutions
Electromyography
EMG segmentation
kinesiology
muscle onset detection
Muscles
Signal processing algorithms
Surface treatment
Online Access:Request full text
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Summary: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.
ISSN:1803-7232