Electromyogram whitening for improved classification accuracy in upper limb prosthesis control

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 21, Issue 5, 2013, Pages 767-774

  Liu, Lukai ^a   Liu, Pu ^a   Clancy, Edward A ^a   Scheme, Erik ^b   Englehart, Kevin B ^b  

^a Worcester Polytechnic Institute   (United States)

^b UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

Coefficient of variation; Electromyography; EMG; Myoelectric; Prosthesis; Whitening

Indexed keywords

CLASSIFICATION ACCURACY; COEFFICIENT OF VARIATION; EMG; EMG AMPLITUDE ESTIMATIONS; MYOELECTRIC; SURFACE ELECTROMYOGRAM; TIME AND FREQUENCY DOMAINS; WHITENING;

ARTIFICIAL LIMBS; MOTION CONTROL; MUSCLE; MYOELECTRICALLY CONTROLLED PROSTHETICS; PROSTHETICS;

ELECTROMYOGRAPHY;

ADULT; ALGORITHM; AMPUTATION; AMPUTATION, TRAUMATIC; ARM; CLASSIFICATION; COMPUTER AIDED DESIGN; DISABLED PERSON; ELECTROMYOGRAPHY; FEMALE; HUMAN; LIMB PROSTHESIS; MALE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; PROCEDURES; PROSTHESIS; SIGNAL NOISE RATIO; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; YOUNG ADULT; ARTICLE; METHODOLOGY; STATISTICS; TRAUMATIC AMPUTATION;

ADULT; ALGORITHMS; AMPUTATION; AMPUTATION, TRAUMATIC; AMPUTEES; ARTIFICIAL LIMBS; COMPUTER-AIDED DESIGN; DATA INTERPRETATION, STATISTICAL; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; MOVEMENT; PROSTHESIS DESIGN; SIGNAL-TO-NOISE RATIO; UPPER EXTREMITY; YOUNG ADULT;

EID: 84883830517     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2013.2243470     Document Type: Article

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