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The Progression of Muscle Fatigue During Exercise Estimation With the Aid of High-Frequency Component Parameters Derived From Ensemble Empirical Mode Decomposition

contributor authorShing-Hong Liu
contributor authorKang-Ming Chang
contributor authorDa-Chuan Cheng
date accessioned2020-03-13T00:20:49Z
date available2020-03-13T00:20:49Z
date issued2014
identifier issn2168-2194
identifier other6889077.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1143320?show=full
formatgeneral
languageEnglish
publisherIEEE
titleThe Progression of Muscle Fatigue During Exercise Estimation With the Aid of High-Frequency Component Parameters Derived From Ensemble Empirical Mode Decomposition
typeJournal Paper
contenttypeMetadata Only
identifier padid8325927
subject keywordsdiscrete wavelet transforms
subject keywordselectromyography
subject keywordsdiscrete wavelet transform
subject keywordsensemble EMD
subject keywordsensemble empirical mode decomposition
subject keywordsexercise
subject keywordshigh frequency component parameters
subject keywordsinnervation zone
subject keywordsisometric contractions
subject keywordsmscle fatigue
subject keywordssEMG power spectrum
subject keywordssurface electromyography
subject keywordsCorrelation
subject keywordsDiscrete wavelet transforms
subject keywordsElectrodes
subject keywordsElectromyography
subject keywordsFatigue
subject keywordsMuscles
subject keywordsNoise
subject keywordsDiscrete wavelet transform (DWT)
subject keywordsempirical mode decomposition (EMD)
subject keywordsensemble EMD (EEMD)
subject keywordsmedian frequency (MF)
subject keywordsmuscle fat
identifier doi10.1109/JBHI.2013.2286408
journal titleBiomedical and Health Informatics, IEEE Journal of
journal volume18
journal issue5
filesize1880644
citations0


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