Pattern classification of Myo-Electrical signal during different Maximum Voluntary Contractions: A study using BSS techniques

Bibliographic Details
Main Authors: Naik Ganesh, Kumar Dinesh, Arjunan Sridhar
Format: Article
Language:English
Published: Sciendo 2010-01-01
Series:Measurement Science Review
Subjects:
rms
Online Access:https://doi.org/10.2478/v10048-010-0001-y
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spelling 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
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