EMG signal decomposition using motor unit potential train validity

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 21, Issue 2, 2013, Pages 265-274

  Parsaei, Hossein ^a,b   Stashuk, Daniel W ^c  

^a SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b TECHNICAL AND VOCATIONAL UNIVERSITY TVU   (Iran)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Clustering; electromyographic (EMG) signal decomposition; motor unit potential train validity; supervised classification

Indexed keywords

ADAPTIVE CLASSIFICATION; CLUSTERING; ELECTROMYOGRAPHIC SIGNAL; ELECTROMYOGRAPHIC SIGNAL DECOMPOSITIONS (EMG); EMG SIGNAL DECOMPOSITION; MOTOR UNIT POTENTIAL TRAINS; PHYSIOLOGICAL PARAMETERS; SUPERVISED CLASSIFICATION;

ELECTROMYOGRAPHY; PHYSIOLOGICAL MODELS; SIGNAL DISTORTION; SPEED CONTROL;

CLUSTERING ALGORITHMS;

ACTION POTENTIAL; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY; MOTONEURON; MUSCLE CONTRACTION; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; SKELETAL MUSCLE; VALIDATION STUDY;

ACTION POTENTIALS; ALGORITHMS; ELECTROMYOGRAPHY; HUMANS; MOTOR NEURONS; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84874987154     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2012.2218287     Document Type: Article

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