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Decomposition of EMG signals using time-frequency features

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3 Author(s)
Wellig, P. ; Signal & Inf. Process Lab., Fed. Inst. of Technol., Zurich, Switzerland ; Moschytz, George S. ; Liiubli, T.

The decomposition of intramuscular myoelectric (EMG) signals can be considered as a classification problem. The main effects which decrease the classification performance are Motor Unit Action Potential (MUAP) shimmer and overlapping MUAPs. In this paper we show how time-frequency information can be extracted to reduce MUAP shimmer and propose a criterion to detect overlapping MUAPs. Because of the information extraction and detection of compound MUAPs, the classification problem can be reduced to a detection problem of highly isolated cluster points. Tests with EMG recordings yield very good results

Published in:

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE  (Volume:3 )

Date of Conference:

29 Oct-1 Nov 1998