Paper Info
Title
Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques
Abstract
Previous research studies have reported that spectral compression of the surface Electromyogram (SEMG) towards lower frequencies is associated with onset of localized muscle fatigue. One reason for this spectral compression has been attributed to motor unit synchronization in literature. According to this, motor units are pseudo randomly excited during muscle contraction, and the recruitment pattern changes during the onset of muscle fatigue, such that the firing of motor units becomes more synchronized. While this theory is widely accepted, there is little experimental proof of the phenomenon. This paper has used source dependence properties and measures developed in research related to independent component analysis (ICA) to test for synchronization. This paper has also determined that the global matrix can be used as a measure for estimating localized muscle fatigue during cyclic movements.
Year
DOI
Venue
2009
10.1109/DICTA.2009.43
Melbourne, VIC
Keywords
Field
DocType
muscle fatigue,motor unit synchronization,localized muscle fatigue,muscle contraction,cyclic movement,motor unit,spectral compression,global matrix,previous research study,source separation techniques,experimental proof,electric potential,independent component analysis,synchronization,data mining,force,synchronous motors
Muscle contraction,Compression (physics),Synchronous motor,Biological system,Computer science,Artificial intelligence,Source separation,Pattern recognition,Electromyography,Speech recognition,Motor unit,Independent component analysis,Muscle fatigue
Conference
ISBN
Citations 
PageRank 
978-0-7695-3866-2
4
0.81
References 
Authors
1
4
Name
Order
Citations
PageRank
Ganesh R. Naik129825.37
Dinesh K. Kumar2839.17
Katherine Wheeler340.81
Sridhar Arjunan4187.35