Multi-scale AM-FM analysis for the classification of surface electromyographic signals

Biomedical Signal Processing and Control

Volumn 7, Issue 3, 2012, Pages 265-269

  Christodoulou, C I ^a   Kaplanis, P A ^a   Murray, V ^b   Pattichis, M S ^b   Pattichis, C S ^a   Kyriakides, T ^c  

^a UNIVERSITY OF CYPRUS   (Cyprus)

^b University of New Mexico   (United States)

^c CYPRUS INSTITUTE OF NEUROLOGY AND GENETICS   (Cyprus)

Author keywords

AM FM; Classification; SEMG

Indexed keywords

AMPLITUDE MODULATION; CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; FREQUENCY MODULATION; NEAREST NEIGHBOR SEARCH; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES;

BICEPS BRACHII MUSCLE; ELECTROMYOGRAPHIC; ELECTROMYOGRAPHIC SIGNAL; K NEAREST NEIGHBOR (KNN); LEAVE ONE OUT; MAXIMUM VOLUNTARY CONTRACTION; NEUROMUSCULAR DISORDERS; SEMG;

BIOMEDICAL SIGNAL PROCESSING;

AMPLITUDE MODULATION; BICEPS BRACHII MUSCLE; CLINICAL ARTICLE; CONFERENCE PAPER; CONTROLLED STUDY; DISEASE CLASSIFICATION; ELECTROMYOGRAPHY; FREQUENCY MODULATION; HUMAN; MUSCLE CONTRACTION; MYOPATHY; NEUROPATHY; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; VOLUNTARY MOVEMENT;

EID: 84860228620     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2012.01.001     Document Type: Conference Paper

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