A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Volumn 13, Issue 3, 2005, Pages 280-291

  Ajiboye, Abidemi Bolu ^a,d,e   Weir, Richard F Ff ^a,b,c  

^a Northwestern University   (United States)

^b JESSE BROWN VA MEDICAL CENTER   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

^e NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Clustering; Electromyogram (EMG); Fuzzy logic; Heuristics; Multifunctional control; Myoelectric prostheses; Pattern recognition

Indexed keywords

ALGORITHMS; BIOELECTRIC PHENOMENA; ELECTROMYOGRAPHY; MEMBERSHIP FUNCTIONS; PATTERN RECOGNITION; PROSTHETICS;

CLUSTERING; HEURISTICS; MULTIFUNCTIONAL CONTROL; MYOELECTRIC PROSTHESIS;

FUZZY SETS;

AMPLITUDE MODULATION; ARTICLE; CLASSIFICATION; CLUSTER ANALYSIS; ELECTROMYOGRAM; HEURISTIC FUZZY LOGIC APPROACH; MATHEMATICAL MODEL; PATTERN RECOGNITION; PRIORITY JOURNAL; PROSTHESIS; STATISTICS; STEADY STATE;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ELECTROMYOGRAPHY; FOREARM; FUZZY LOGIC; HUMANS; JOINT PROSTHESIS; MALE; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; PATTERN RECOGNITION, AUTOMATED; PROSTHESIS DESIGN; THERAPY, COMPUTER-ASSISTED;

EID: 26244468587     PISSN: 15344320     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNSRE.2005.847357     Document Type: Article

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