DocumentCode
3307165
Title
Myoelectric patterns identification using wavelets
Author
Domínguez, R. ; Muñoz, R.
Author_Institution
Dept. de Ingenieria Electrica, IPN, Mexico
Volume
2
fYear
1999
fDate
36434
Abstract
We used wavelets analysis to identify myoelectric patterns produced during isometric contractions, into muscular force levels. Two types of wavelets were used: Daubechies and Coiflet. The results show that it is possible to identify the force levels produced by a muscle during the first 0.5 s of contraction. The goal is to classify myoelectric signals into three previously established force levels. The coefficients obtained by the wavelet transform of such signals allow us to distinguish easily among the three levels
Keywords
biomechanics; electromyography; medical signal processing; wavelet transforms; 0.5 s; Coiflet wavelets; Daubechies wavelets; isometric contractions; muscular force levels; myoelectric patterns identification; wavelet transform; wavelets; Electroencephalography; Electromyography; MATLAB; Proposals; Signal processing; Signal processing algorithms; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804118
Filename
804118
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