Referenced Items are not available for this document.
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
- Page(s):
- 1497 - 1500 vol.3
- Meeting Date :
- 29 Oct 1998-01 Nov 1998
- ISSN :
- 1094-687X
- Print ISBN:
- 0-7803-5164-9
- INSPEC Accession Number:
- 6358114
- Conference Location :
- Hong Kong
- Digital Object Identifier :
- 10.1109/IEMBS.1998.747170
- Product Type:
- Conference Publications
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