Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders

Computers in Biology and Medicine

Volumn 43, Issue 5, 2013, Pages 576-586

  Subasi, Abdulhamit ^a  

^a INTERNATIONAL BURCH UNIVERSITY   (Bosnia and Herzegovina)

Author keywords

Discrete wavelet transform (DWT); Electromyography (EMG); K Nearest neigbour (k NN); Motor unit action potentials (MUAPs); Parameter selection; Particle swarm optimization (PSO); Radial basis function networks (RBFN); Support vector machine (SVM)

Indexed keywords

ELECTROMYOGRAPHY (EMG); K-NEAREST NEIGBOUR (K-NN); MOTOR UNIT ACTION POTENTIALS; PARAMETER SELECTION; RADIAL BASIS FUNCTION NETWORKS (RBFN);

DISCRETE WAVELET TRANSFORMS; ELECTROMYOGRAPHY; ELECTROPHYSIOLOGY; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

SUPPORT VECTOR MACHINES;

ADOLESCENT; ADULT; ARTICLE; CHILD; CLINICAL ARTICLE; COMPUTER SYSTEM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROMYOGRAM; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; HUMAN; INFORMATION PROCESSING; KERNEL METHOD; MALE; MYOPATHY; NEUROMUSCULAR DISEASE; PARTICLE SWARM OPTIMIZATION; PRIORITY JOURNAL; SCHOOL CHILD; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; WAVELET ANALYSIS;

ACTION POTENTIALS; ADOLESCENT; ADULT; CHILD; ELECTROMYOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; MUSCULAR DISEASES; PERIPHERAL NERVOUS SYSTEM DISEASES; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS;

EID: 84875921509     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2013.01.020     Document Type: Article

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