Estimation of muscle fatigue during cyclic contractions using source separation techniques

Naik, GR; Kumar, DK; Wheeler, K; Arjunan, SP

Estimation of muscle fatigue during cyclic contractions using source separation techniques

Naik, GR

Kumar, DK Wheeler, K Arjunan, SP

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Publication Type:: Conference Proceeding
Citation:: DICTA 2009 - Digital Image Computing: Techniques and Applications, 2009, pp. 217 - 222
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Naik, GR https://orcid.org/0000-0003-1790-9838	en_US
dc.contributor.author	Kumar, DK	en_US
dc.contributor.author	Wheeler, K	en_US
dc.contributor.author	Arjunan, SP	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	DICTA 2009 - Digital Image Computing: Techniques and Applications, 2009, pp. 217 - 222	en_US
dc.identifier.isbn	9780769538662	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30647
dc.description.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. © 2009 IEEE.	en_US
dc.relation.ispartof	DICTA 2009 - Digital Image Computing: Techniques and Applications	en_US
dc.relation.isbasedon	10.1109/DICTA.2009.43	en_US
dc.title	Estimation of muscle fatigue during cyclic contractions using source separation techniques	en_US
dc.type	Conference Proceeding
utslib.for	090609 Signal Processing	en_US
utslib.for	090302 Biomechanical Engineering	en_US
utslib.for	090399 Biomedical Engineering not elsewhere classified	en_US
dc.location.activity	Melbourne, VIC
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

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. © 2009 IEEE.

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http://hdl.handle.net/10453/30647