Estimation of muscle fatigue during cyclic contractions using source separation techniques

Ganesh R. Naik; Dinesh K. Kumar; Katherine Wheeler; Sridhar P. Arjunan

doi:10.1109/DICTA.2009.43

Estimation of muscle fatigue during cyclic contractions using source separation techniques

Ganesh R. Naik, Dinesh K. Kumar, Katherine Wheeler, Sridhar P. Arjunan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

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.

Original language	English
Title of host publication	2009 Digital Image Computing
Subtitle of host publication	Techniques and Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	217-222
Number of pages	6
ISBN (Print)	9780769538662
DOIs	https://doi.org/10.1109/DICTA.2009.43
Publication status	Published - 2009
Externally published	Yes
Event	Digital Image Computing: Techniques and Applications, DICTA 2009 - Melbourne, VIC, Australia Duration: 1 Dec 2009 → 3 Dec 2009

Conference

Conference	Digital Image Computing: Techniques and Applications, DICTA 2009
Country/Territory	Australia
City	Melbourne, VIC
Period	1/12/09 → 3/12/09

Keywords

ICA
Muscle fatigue
Source separation
Surface EMG

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10.1109/DICTA.2009.43Licence: In Copyright

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@inproceedings{74b835db9f594f0b81b120e441a01159,

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.",

keywords = "ICA, Muscle fatigue, Source separation, Surface EMG",

author = "Naik, {Ganesh R.} and Kumar, {Dinesh K.} and Katherine Wheeler and Arjunan, {Sridhar P.}",

year = "2009",

doi = "10.1109/DICTA.2009.43",

language = "English",

isbn = "9780769538662",

pages = "217--222",

booktitle = "2009 Digital Image Computing",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Digital Image Computing: Techniques and Applications, DICTA 2009 ; Conference date: 01-12-2009 Through 03-12-2009",

}

Naik, GR, Kumar, DK, Wheeler, K & Arjunan, SP 2009, Estimation of muscle fatigue during cyclic contractions using source separation techniques. in 2009 Digital Image Computing: Techniques and Applications., 5384982, Institute of Electrical and Electronics Engineers Inc., pp. 217-222, Digital Image Computing: Techniques and Applications, DICTA 2009, Melbourne, VIC, Australia, 1/12/09. https://doi.org/10.1109/DICTA.2009.43

Estimation of muscle fatigue during cyclic contractions using source separation techniques. / Naik, Ganesh R.; Kumar, Dinesh K.; Wheeler, Katherine et al.
2009 Digital Image Computing: Techniques and Applications. Institute of Electrical and Electronics Engineers Inc., 2009. p. 217-222 5384982.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimation of muscle fatigue during cyclic contractions using source separation techniques

AU - Naik, Ganesh R.

AU - Kumar, Dinesh K.

AU - Wheeler, Katherine

AU - Arjunan, Sridhar P.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - ICA

KW - Muscle fatigue

KW - Source separation

KW - Surface EMG

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U2 - 10.1109/DICTA.2009.43

DO - 10.1109/DICTA.2009.43

M3 - Conference contribution

AN - SCOPUS:77950312954

SN - 9780769538662

SP - 217

EP - 222

BT - 2009 Digital Image Computing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Digital Image Computing: Techniques and Applications, DICTA 2009

Y2 - 1 December 2009 through 3 December 2009

ER -

Estimation of muscle fatigue during cyclic contractions using source separation techniques

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Keywords

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