Identification of motion from multi-channel EMG signals for control of prosthetic hand

Australasian Physical and Engineering Sciences in Medicine

Volumn 34, Issue 3, 2011, Pages 419-427

  Geethanjali, P ^a   Ray, K K ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Decision tree; EMG; K nearest neighbour; Linear discriminant analysis; Neural network; Simple logistic regression; Time domain features

Indexed keywords

EMG; K-NEAREST NEIGHBOURS; LINEAR DISCRIMINANT ANALYSIS; SIMPLE LOGISTIC REGRESSION; TIME DOMAIN;

DECISION TREES; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; FORESTRY; NEURAL NETWORKS; PROSTHETICS; REGRESSION ANALYSIS; TIME DOMAIN ANALYSIS; TREES (MATHEMATICS);

FEATURE EXTRACTION;

FORESTRY; MATHEMATICS; NEURAL NETWORKS; REGRESSION ANALYSIS; TREES;

ACTION POTENTIAL; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; HAND; HUMAN; LIMB PROSTHESIS; METHODOLOGY; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; PROSTHESIS; STATISTICAL MODEL;

ACTION POTENTIALS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ARTIFICIAL LIMBS; DISCRIMINANT ANALYSIS; ELECTROMYOGRAPHY; HAND; HUMANS; LOGISTIC MODELS; MOVEMENT; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROSTHESIS DESIGN;

EID: 84856265945     PISSN: 01589938     EISSN: None     Source Type: Journal    
DOI: 10.1007/s13246-011-0079-z     Document Type: Article

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