Extracting temporal and spectral parameters from surface electromyography signals during a fatigue contraction

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aut.relation.endpage283
aut.relation.issue2
aut.relation.pages6
aut.relation.startpage278
aut.relation.volume1
aut.researcherPrasad, Krishnamachar
dc.contributor.authorKilby J
dc.contributor.authorPrasad K
dc.date.accessioned2013-12-10T22:01:21Z
dc.date.available2013-12-10T22:01:21Z
dc.date.copyright2013-12-01
dc.date.issued2013-12-01
dc.description.abstractThis paper presents findings from a study of five healthy subjects performing 50% maximum voluntary contraction until complete fatigue of the muscle. An overlapping window technique was used to find the values for mean frequency (MNF), median frequency (MDF) of the power spectrum, root mean square (RMS) and muscle fibre conduction velocity (MFCV). The surface electromyography signal (sEMG) was collected from the vastus lateralis muscle using a three channel Laplacian electrode. The results show the MNF and MDF values showed a consistent trend with each other where they remained at steady values between 20-30% and 75-80% of the signal after which they fell 15-30% of this value. The RMS showed a linear increase in value. The MFCV showed a similar trend to that found in the MNF and MDF values.
dc.identifier.citationInternational journal of signal processing systems, vol.1(2), pp.278 - 283 (6)
dc.identifier.doi10.12720/ijsps.1.2.278-283
dc.identifier.issn2315-4535
dc.identifier.urihttps://hdl.handle.net/10292/6193
dc.publisherEngineering and Technology Publishing
dc.rightsIJSPS is an Open Access journal and all full texts of published articles are available online free of charge for everyone.
dc.rights.accessrightsOpenAccess
dc.subjectMNF
dc.subjectMDF
dc.subjectRMS
dc.subjectMFCV
dc.titleExtracting temporal and spectral parameters from surface electromyography signals during a fatigue contraction
dc.typeJournal Article
pubs.elements-id159064
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/Design & Creative Technologies/School of Engineering
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