Ant colony optimization-based feature selection method for surface electromyography signals classification

Computers in Biology and Medicine

Volumn 42, Issue 1, 2012, Pages 30-38

  Huang, Hu ^a   Xie, Hong Bo ^a   Guo, Jing Yi ^b   Chen, Hui Juan ^a  

^a JIANGSU UNIVERSITY   (China)

^b NEW YORK CHIROPRACTIC COLLEGE   (United States)

Author keywords

Ant colony optimization; Feature selection; Minimum redundancy maximum relevance; Pattern classification; Surface electromyography

Indexed keywords

ANT COLONIES; ANT-COLONY OPTIMIZATION; AUTOREGRESSIVE MODEL COEFFICIENTS; BIOMEDICAL SIGNAL; CLASSIFICATION ACCURACY; CLASSIFICATION RATES; COMPUTATIONALLY EFFICIENT; DATA SETS; FEATURE SELECTION METHODS; FEATURE SETS; FEATURE SUBSET; HAND MOTION; HEURISTIC INFORMATION; MINIMUM REDUNDANCY MAXIMUM RELEVANCE; MOTION CLASSIFICATION; MULTIPLE CHANNELS; PATTERN ANALYSIS; RELEVANCE CRITERIA; SMALL SIZE; SURFACE ELECTROMYOGRAPHY; SURFACE ELECTROMYOGRAPHY SIGNALS; TIME DOMAIN; UPPER LIMB MOTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOELECTRIC PHENOMENA; OPTIMIZATION; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; REDUNDANCY; TIME DOMAIN ANALYSIS; WAVELET TRANSFORMS;

FEATURE EXTRACTION;

ACCURACY; ANT COLONY OPTIMIZATION; ARM; ARTICLE; BIOLOGY; BIOMEDICAL ENGINEERING; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY; MOTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REDUNDANCY ANALYSIS; SIGNAL PROCESSING; WAVELET ANALYSIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; ELECTROMYOGRAPHY; HAND; HUMANS; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 83855160795     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2011.10.004     Document Type: Article

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