Decomposition of low force, simulated EMG using wavelets

D. J. Roberson*, William Z Rymer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
Volume1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings 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 1999Oct 16 1999

Other

OtherProceedings 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)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Decomposition of low force, simulated EMG using wavelets'. Together they form a unique fingerprint.

Cite this