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Spectral properties of electromyographic and mechanomyographic signals during isometric ramp and step contractions in biceps brachii

Authors :
Qi, Liping
Wakeling, James M.
Green, Adam
Lambrecht, Kirstin
Ferguson-Pell, Martin
Source :
Journal of Electromyography & Kinesiology. Feb2011, Vol. 21 Issue 1, p128-135. 8p.
Publication Year :
2011

Abstract

Abstract: The purposes of this study were: (1) to apply wavelet and principal component analysis to quantify the spectral properties of the surface EMG and MMG signals from biceps brachii during isometric ramp and step muscle contractions when the motor units are recruited in an orderly manner, and (2) to compare the recruitment patterns of motor unit during isometric ramp and step muscle contractions. Twenty healthy participants (age=34±10.7years) performed step and ramped isometric contractions. Surface EMG and MMG were recorded from biceps brachii. The EMGs and MMGs were decomposed into their intensities in time–frequency space using a wavelet technique. The EMG and MMG spectra were then compared using principal component analysis (PCA) and ANCOVA. Wavelet combined PCA offers a quantitative measure of the contribution of high and low frequency content within the EMG and MMG. The ANCOVA indicated that there was no significant difference in EMG total intensity, EMGMPF, first and second principal component loading scores (PCI and PCII) between ramp and step contractions, whereas the MMGMPF and MMG PCI loading scores were significantly higher during ramp contractions than during step contractions. These findings suggested that EMG and MMG may offer complimentary information regarding the interactions between motor unit recruitment and firing rate that control muscle force production. In addition, our results support the hypothesis that different motor unit recruitment strategy was used by the muscle when contracting under different conditions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10506411
Volume :
21
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Electromyography & Kinesiology
Publication Type :
Academic Journal
Accession number :
57299556
Full Text :
https://doi.org/10.1016/j.jelekin.2010.09.006