Abstract
Decoding the EMG signal could provide insight into the number and firing frequencies of the individual motoneurons innervating a particular muscle. An EMG signal was generated to approximate 5% maximum force generated. A custom wavelet was applied using a continuous wavelet transform. The coefficients generated were then compared with the number of action potentials used to generate the EMG. The results are encouraging.
Original language | English (US) |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Publisher | IEEE |
Number of pages | 1 |
Volume | 1 |
ISBN (Print) | 0780356756 |
State | Published - Dec 1 1999 |
Event | Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA Duration: Oct 13 1999 → Oct 16 1999 |
Other
Other | Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) |
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City | Atlanta, GA, USA |
Period | 10/13/99 → 10/16/99 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics