Comparative study of PCA in classification of multichannel EMG signals

Australasian Physical and Engineering Sciences in Medicine

Volumn 38, Issue 2, 2015, Pages 331-343

  Geethanjali, P ^a  

^a VIT UNIVERSITY   (India)

Author keywords

Classification; Digital signal controller; EMG; Feature extraction; Principal component analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONTROLLERS; DATA MINING; DECISION TREES; ELECTROMYOGRAPHY; FEATURE EXTRACTION; MUSCLE; NEAREST NEIGHBOR SEARCH; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; STATISTICS; TIME DOMAIN ANALYSIS; TREES (MATHEMATICS); VECTOR SPACES;

DIGITAL SIGNAL CONTROLLERS; ELECTROMYOGRAPHIC SIGNAL; EMG; EMG PATTERN RECOGNITION; K NEAREST NEIGHBOR (KNN); REHABILITATION ENGINEERING; SIMPLE LOGISTIC REGRESSIONS; TRANSFORMATION TECHNIQUES;

BIOMEDICAL SIGNAL PROCESSING;

ACCURACY; ALGORITHM; ARTICLE; AUTO REGRESSION; COMPARATIVE STUDY; DIGITAL SIGNAL CONTROLLER; ELECTROMYOGRAPHY; HAND CLOSE; HAND MOVEMENT; HAND OPEN; HUMAN; K NEAREST NEIGHBOR; KRUSKAL WALLIS TEST; LOGISTIC MODEL TREE; MATHEMATICAL ANALYSIS; MULTICHANNEL RECORDER; NERVE CELL NETWORK; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RADIAL DEVIATION; SIMPLE LOGISTIC REGRESSION; STATISTICAL ANALYSIS; TIME DOMAIN; ULNAR DEVIATION; WRIST EXTENSION; WRIST FLEXION; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; DECISION TREE; ELECTRODE; MALE; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; DECISION TREES; ELECTRODES; ELECTROMYOGRAPHY; HUMANS; LOGISTIC MODELS; MALE; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 84943354158     PISSN: 01589938     EISSN: 18795447     Source Type: Journal    
DOI: 10.1007/s13246-015-0343-8     Document Type: Article

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