Effect of multiscale PCA de-noising on EMG signal classification for diagnosis of neuromuscular disorders

Journal of Medical Systems

Volumn 38, Issue 4, 2014, Pages

  Gokgoz, Ercan ^a   Subasi, Abdulhamit ^a  

^a INTERNATIONAL BURCH UNIVERSITY   (Bosnia and Herzegovina)

Author keywords

Artificial neural network (ANN); Electromyography (EMG); K Nearest neighbor (k NN); Motor unit action potentials (MUAPs); Multiple signal classification (MUSIC); Multiscale principle component analysis (MSPCA); Support vectormachine (SVM)

Indexed keywords

ACCURACY; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAPHY; ELECTROPHYSIOLOGICAL PROCEDURES; EXTRACTION; FEMALE; HUMAN; K NEAREST NEIGHBOR; MALE; MULTISCALE PRINCIPAL COMPONENT ANALYSIS; NEUROMUSCULAR DISEASE; PRINCIPAL COMPONENT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION; SUPPORT VECTOR MACHINE; ALGORITHM; MIDDLE AGED; NEUROMUSCULAR DISEASES; PROCEDURES; SIGNAL PROCESSING;

ADULT; ALGORITHMS; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); NEUROMUSCULAR DISEASES; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES;

EID: 84897244459     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-014-0031-3     Document Type: Article

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