Electromyogram-based neural network control of transhumeral prostheses

Journal of Rehabilitation Research and Development

Volumn 48, Issue 6, 2011, Pages 739-754

  Pulliam, Christopher L ^a   Lambrecht, Joris M ^a   Kirsch, Robert F ^a,b  

^a Case Western Reserve University   (United States)

^b LOUIS STOKES CLEVELAND VA MEDICAL CENTER   (United States)

Author keywords

Amputation; Artificial neural network; Control; Electromyographic; Myoelectric; Myoelectric control; Pattern recognition; Prosthesis; Prosthetic limb; Transhumeral

Indexed keywords

AMPUTATION; ARTIFICIAL NEURAL NETWORK; ELECTROMYOGRAPHIC; MYOELECTRIC; MYOELECTRIC CONTROL; PROSTHESIS; TRANSHUMERAL;

ARTIFICIAL LIMBS; MUSCLE; MYOELECTRICALLY CONTROLLED PROSTHETICS; PATTERN RECOGNITION;

NEURAL NETWORKS;

ADULT; ARM MOVEMENT; ARM PROSTHESIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; ELECTROMYOGRAM; HUMAN; HUMAN EXPERIMENT; KINEMATICS; MALE; MUSCLE CONTRACTION; MYOELECTRIC CONTROL; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; TRANSHUMERAL PROSTHESIS;

AMPUTATION; ARM; ARTIFICIAL LIMBS; HUMANS; HUMERUS; NEURAL NETWORKS (COMPUTER); NEUROFEEDBACK;

EID: 79960779950     PISSN: 07487711     EISSN: 19381352     Source Type: Journal    
DOI: 10.1682/JRRD.2010.12.0237     Document Type: Article

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