Muscle fatigue detection in EMG using time-frequency methods, ICA and neural networks

Journal of Medical Systems

Volumn 34, Issue 4, 2010, Pages 777-785

  Subasi, Abdulhamit ^a   Kiymik, M Kemal ^a  

^a KAHRAMANMARAS SUTCU IMAM UNIVERSITY   (Turkey)

Author keywords

Artificial Neural Network (ANN); Electromyography (EMG); Independent Component Analysis (ICA); Muscle fatigue; Time frequency methods

Indexed keywords

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; ELECTROMYOGRAPHY; HUMAN; MEDICAL RECORD; MUSCLE CONTRACTION; MUSCLE FATIGUE; VOLUNTARY MOVEMENT; ALGORITHM; ARM; EVALUATION STUDY; SIGNAL PROCESSING; SKELETAL MUSCLE; YOUNG ADULT;

ALGORITHMS; ARM; ELECTROMYOGRAPHY; HUMANS; MUSCLE FATIGUE; MUSCLE, SKELETAL; NEURAL NETWORKS (COMPUTER); SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 77956056202     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-009-9292-7     Document Type: Article

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