Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques
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2010-01-01
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Series: | Measurement Science Review |
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Online Access: | https://doi.org/10.2478/v10048-010-0001-y |
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doaj-010e0f56f1ee4398bacf1afe8553a0ec2021-09-06T19:23:09ZengSciendoMeasurement Science Review1335-88712010-01-011011610.2478/v10048-010-0001-yPattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniquesNaik Ganesh0Kumar Dinesh1Arjunan Sridhar2Electrical and Computer Engineering, RMIT University, Melbourne, AustraliaElectrical and Computer Engineering, RMIT University, Melbourne, AustraliaElectrical and Computer Engineering, RMIT University, Melbourne, Australiahttps://doi.org/10.2478/v10048-010-0001-ysurface electromyographyindependent component analysisblind source separationgesturesmaximum voluntary contractionsrmsmotor unit action potential |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Naik Ganesh Kumar Dinesh Arjunan Sridhar |
spellingShingle |
Naik Ganesh Kumar Dinesh Arjunan Sridhar Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques Measurement Science Review surface electromyography independent component analysis blind source separation gestures maximum voluntary contractions rms motor unit action potential |
author_facet |
Naik Ganesh Kumar Dinesh Arjunan Sridhar |
author_sort |
Naik Ganesh |
title |
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques |
title_short |
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques |
title_full |
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques |
title_fullStr |
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques |
title_full_unstemmed |
Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques |
title_sort |
pattern classification of myo-electrical signal during different maximum voluntary contractions: a study using bss techniques |
publisher |
Sciendo |
series |
Measurement Science Review |
issn |
1335-8871 |
publishDate |
2010-01-01 |
topic |
surface electromyography independent component analysis blind source separation gestures maximum voluntary contractions rms motor unit action potential |
url |
https://doi.org/10.2478/v10048-010-0001-y |
work_keys_str_mv |
AT naikganesh patternclassificationofmyoelectricalsignalduringdifferentmaximumvoluntarycontractionsastudyusingbsstechniques AT kumardinesh patternclassificationofmyoelectricalsignalduringdifferentmaximumvoluntarycontractionsastudyusingbsstechniques AT arjunansridhar patternclassificationofmyoelectricalsignalduringdifferentmaximumvoluntarycontractionsastudyusingbsstechniques |
_version_ |
1717770520440602624 |