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Extracting Temporal and Spectral Parameters from Surface Electromyography Signals during a Fatigue Contraction

Authors :
Krishnamachar Prasad
Jeff Kilby
Source :
International Journal of Signal Processing Systems. :278-283
Publication Year :
2013
Publisher :
EJournal Publishing, 2013.

Abstract

This paper presents findings from a study of five healthy subjects performing 50% maximum voluntary contraction until complete fatigue of the muscle. An overlapping window technique was used to find the values for mean frequency (MNF), median frequency (MDF) of the power spectrum, root mean square (RMS) and muscle fibre conduction velocity (MFCV). The surface electromyography signal (sEMG) was collected from the vastus lateralis muscle using a three channel Laplacian electrode. The results show the MNF and MDF values showed a consistent trend with each other where they remained at steady values between 20-30% and 75-80% of the signal after which they fell 15-30% of this value. The RMS showed a linear increase in value. The MFCV showed a similar trend to that found in the MNF and MDF values. 

Details

ISSN :
23154535
Database :
OpenAIRE
Journal :
International Journal of Signal Processing Systems
Accession number :
edsair.doi...........3ef600d198526dfd95ec780487597ad0
Full Text :
https://doi.org/10.12720/ijsps.1.2.278-283