Spectral properties of surface EMG and muscle conduction velocity: A study based on sEMG model

Arjunan, SP; Kumar, D; Wheeler, K; Shimada, H; Naik, G

Spectral properties of surface EMG and muscle conduction velocity: A study based on sEMG model

Arjunan, SP Kumar, D Wheeler, K Shimada, H Naik, G

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Publication Type:: Conference Proceeding
Citation:: 2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011, 2011, pp. 96 - 99
Issue Date:: 2011-05-19

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Field	Value	Language
dc.contributor.author	Arjunan, SP	en_US
dc.contributor.author	Kumar, D	en_US
dc.contributor.author	Wheeler, K	en_US
dc.contributor.author	Shimada, H	en_US
dc.contributor.author	Naik, G https://orcid.org/0000-0003-1790-9838	en_US
dc.date.issued	2011-05-19	en_US
dc.identifier.citation	2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011, 2011, pp. 96 - 99	en_US
dc.identifier.isbn	9781424482122	en_US
dc.identifier.uri	http://hdl.handle.net/10453/32941
dc.description.abstract	It is well known that there is a change in the spectrum of surface electromyogram (sEMG) with the onset of muscle fatigue. This change has largely been attributed to the change in muscle conduction velocity. In this paper, this theory has been investigated by studying a sEMG model developed earlier. The change of spectrum of the experimental results has been compared with simulated sEMG in response to the change in muscle conduction velocity using similar conditions. The model of sEMG of biceps brachii muscle during various levels of isometric voluntary contraction was considered and included details of muscle type, measurable average and individual conduction velocities and the natural variations between motor unit recruitment and firing rates as observed experimentally. The model used the change in the muscle conduction velocity (v) as a parameter to simulate the sEMG. The shift in spectrum was identified by computation of the median frequency (MDF) of the sEMG before and after the implementation of the RS parameter in the model. The model was also simulated to generate sEMG at various levels of voluntary isometric contractions. The results based on the simulation of the model show that the rate of change in MDF was consistent in all levels of contractions and it is not same with experimental conditions. The results also suggest there is large change in MDF with v in the simulated sEMG than in experimental conditions. © 2011 IEEE.	en_US
dc.relation.ispartof	2011 ISSNIP Biosignals and Biorobotics Conference: Biosignals and Robotics for Better and Safer Living, BRC 2011	en_US
dc.relation.isbasedon	10.1109/BRC.2011.5740675	en_US
dc.title	Spectral properties of surface EMG and muscle conduction velocity: A study based on sEMG model	en_US
dc.type	Conference Proceeding
utslib.for	090609 Signal Processing	en_US
utslib.for	0903 Biomedical Engineering	en_US
dc.location.activity	Vitoria, Brazil
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:

It is well known that there is a change in the spectrum of surface electromyogram (sEMG) with the onset of muscle fatigue. This change has largely been attributed to the change in muscle conduction velocity. In this paper, this theory has been investigated by studying a sEMG model developed earlier. The change of spectrum of the experimental results has been compared with simulated sEMG in response to the change in muscle conduction velocity using similar conditions. The model of sEMG of biceps brachii muscle during various levels of isometric voluntary contraction was considered and included details of muscle type, measurable average and individual conduction velocities and the natural variations between motor unit recruitment and firing rates as observed experimentally. The model used the change in the muscle conduction velocity (v) as a parameter to simulate the sEMG. The shift in spectrum was identified by computation of the median frequency (MDF) of the sEMG before and after the implementation of the RS parameter in the model. The model was also simulated to generate sEMG at various levels of voluntary isometric contractions. The results based on the simulation of the model show that the rate of change in MDF was consistent in all levels of contractions and it is not same with experimental conditions. The results also suggest there is large change in MDF with v in the simulated sEMG than in experimental conditions. © 2011 IEEE.

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http://hdl.handle.net/10453/32941