DocumentCode
3179818
Title
Estimation of Muscle Fatigue during Cyclic Contractions Using Source Separation Techniques
Author
Naik, Ganesh R. ; Kumar, Dinesh K. ; Wheeler, Katherine ; Arjunan, Sridhar P.
Author_Institution
Sch. of Electr. & Comput. Eng., RMIT Univerisity, Melbourne, VIC, Australia
fYear
2009
fDate
1-3 Dec. 2009
Firstpage
217
Lastpage
222
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.
Keywords
electromyography; fatigue; independent component analysis; source separation; cyclic contractions; independent component analysis; muscle fatigue estimation; source separation techniques; spectral compression; surface electromyogram; Electromyography; Fatigue; Frequency estimation; Frequency synchronization; Independent component analysis; Life estimation; Muscles; Optical fiber polarization; Recruitment; Source separation; ICA; Muscle fatigue; Source separation; Surface EMG;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-5297-2
Electronic_ISBN
978-0-7695-3866-2
Type
conf
DOI
10.1109/DICTA.2009.43
Filename
5384982
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