Surface electromyography based muscle fatigue detection using high-resolution time-frequency methods and machine learning algorithms

•sEMG based muscle fatigue detection is widely preferred and these signals exhibit higher degree of nonstationarity.•B-distribution, extended modified B-distribution (EMBD) and S-transform based TFDs are proposed to address this property.•Twelve features and five classifiers are employed along with...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 154; S. 45 - 56
Hauptverfasser:	Karthick, P.A., Ghosh, Diptasree Maitra, Ramakrishnan, S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.02.2018
Schlagworte:	Algorithms Arm Automation Electromyography - methods EMBD Humans Machine Learning Models, Theoretical Muscle Contraction - physiology Muscle Fatigue - physiology Muscle fatigue analysis Muscle, Skeletal - diagnostic imaging Muscle, Skeletal - physiology S-transform Support Vector Machine Surface electromyography SVM Time-frequency features Muscle fatigue analysis Surface electromyography EMBD SVM S-transform Time-frequency features
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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