Selective classification for improved robustness of myoelectric control under nonideal conditions

IEEE Transactions on Biomedical Engineering

Volumn 58, Issue 6, 2011, Pages 1698-1705

  Scheme, Erik J ^a   Englehart, Kevin B ^a   Hudgins, Bernard S ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Amputee; electromyogram (EMG); myoelectric; myoelectric signal; pattern recognition; prostheses

Indexed keywords

AMPUTEE; ELECTROMYOGRAM; MYOELECTRIC; MYOELECTRIC SIGNALS; PROSTHESES;

PATTERN RECOGNITION;

MYOELECTRICALLY CONTROLLED PROSTHETICS;

ACCURACY; AMPUTATION; ARTICLE; ELECTROMYOGRAM; MYOELECTRIC CONTROL; PROSTHESIS;

ALGORITHMS; AMPUTEES; ANALYSIS OF VARIANCE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL LIMBS; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; HAND STRENGTH; HUMANS; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; PROSTHESIS DESIGN; SIGNAL PROCESSING, COMPUTER-ASSISTED; WRIST;

EID: 79956346285     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2011.2113182     Document Type: Article

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