A Novel Channel Selection Method Based on Partial KL Information Measure for EMG-based Motion Classification

IFMBE Proceedings

Volumn 23, Issue , 2009, Pages 694-698

  Shibanoki, T ^a   Shima, K ^a   Tsuji, T ^a   Otsuka, A ^b   Chin, T ^c  

^a HIROSHIMA UNIVERSITY   (Japan)

^b PREFECTURAL UNIVERSITY OF HIROSHIMA   (Japan)

^c Hyogo Rehabilitation Center Hospital   (Japan)

Author keywords

electromyogram; Kullback Leibler information; partial Wilks' lambda; pattern classification; variable selection method

Indexed keywords

ACCURACY OF CLASSIFICATIONS; EFFECTIVE DIMENSIONS; ELECTROMYO GRAMS; KULLBACK-LEIBLER INFORMATION; MOTION CLASSIFICATION; PARTIAL WILKS' LAMBDA; PROBABILISTIC NEURAL NETWORKS; VARIABLE SELECTION METHODS;

NEURAL NETWORKS; PATTERN RECOGNITION;

BIOMEDICAL ENGINEERING;

EID: 84891495772     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-92841-6_170     Document Type: Conference Paper

References (8)

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8. Kullback, S., Leibler, R. A., (1951) On information and sufficiency, Annals of Mathematical Statistics, Vol. 22, pp. 79-86