Pattern mining of multichannel sEMG for tremor classification

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 12, 2010, Pages 2795-2805

  Palmes, Paulito ^a   Ang, Wei Tech ^b   Widjaja, Ferdinan ^b   Tan, Louis C S ^a   Au, Wing Lok ^a  

^a NATIONAL NEUROSCIENCE INSTITUTE   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Electromyography (EMG); ensemble learning; evolutionary algorithm; modeling; parameter optimization; pattern classification; tremor classification

Indexed keywords

ENSEMBLE LEARNING; MODELING; PARAMETER OPTIMIZATION; PATTERN CLASSIFICATION; TREMOR CLASSIFICATION;

CLASSIFIERS; ELECTROMYOGRAPHY; EVOLUTIONARY ALGORITHMS; LEARNING ALGORITHMS; OPTIMIZATION;

PARAMETER ESTIMATION;

ADOLESCENT; ADULT; AGED; ARTICLE; DAILY LIFE ACTIVITY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; ELECTRODE; ELECTROMYOGRAPHY; HUMAN; MODEL; MUSCLE CONTRACTION; TREMOR;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ARTIFICIAL INTELLIGENCE; ELECTROMYOGRAPHY; HUMANS; MIDDLE AGED; MODELS, THEORETICAL; MOVEMENT DISORDERS; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; TREMOR;

EID: 78649241237     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2076810     Document Type: Article

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