Classification of simultaneous movements using surface EMG pattern recognition

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 5, 2013, Pages 1250-1258

  Young, Aaron J ^a   Smith, Lauren H ^b,c   Rouse, Elliott J ^b,d   Hargrove, Levi J ^e  

^a REHABILITATION INSTITUTE OF CHICAGO   (United States)

^b Northwestern University   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d MIT MEDIA LAB   (United States)

^e NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Electromyography (EMG); multi DOF powered prosthesis classification; pattern recognition; simultaneous coordinated movements

Indexed keywords

ELECTROMYOGRAPHY (EMG); LINEAR DISCRIMINANT ANALYSIS; MULTI-DOF; MULTIPLE DEGREES OF FREEDOM; PATTERN RECOGNITION ALGORITHMS; PATTERN RECOGNITION TECHNIQUES; SIMULTANEOUS/COORDINATED MOVEMENTS; SURFACE ELECTROMYOGRAPHY SIGNALS;

ARTIFICIAL LIMBS; ELECTROMYOGRAPHY; MOORING; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

MUSCLE;

ALGORITHM; ARM AMPUTATION; ARTICLE; BAYES THEOREM; BODY MOVEMENT; CLINICAL ARTICLE; ELECTROMYOGRAPHY; FEMALE; HUMAN; MALE; PATTERN RECOGNITION; RANGE OF MOTION; WRIST;

ALGORITHMS; ARTIFICIAL LIMBS; BAYES THEOREM; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; PATTERN RECOGNITION, AUTOMATED; RANGE OF MOTION, ARTICULAR; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84876767222     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2232293     Document Type: Article

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