The detection of epileptic seizure signals based on fuzzy entropy

Journal of Neuroscience Methods

Volumn 243, Issue , 2015, Pages 18-25

  Xiang, Jie ^a,b,c   Li, Conggai ^a   Li, Haifang ^a   Cao, Rui ^a   Wang, Bin ^a,c   Han, Xiaohong ^a   Chen, Junjie ^a  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^c OKAYAMA UNIVERSITY   (Japan)

Author keywords

Epilepsy detection; Fuzzy entropy; Sample entropy; SVM

Indexed keywords

ACCURACY; ADOLESCENT; ADULT; ARTICLE; CHILD; CLASSIFICATION; CLINICAL ARTICLE; ELECTROENCEPHALOGRAM; ENTROPY; EPILEPTIC STATE; FEMALE; FUZZY ENTROPY; HUMAN; MALE; PRIORITY JOURNAL; SEIZURE; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; BRAIN; COMPARATIVE STUDY; ELECTROENCEPHALOGRAPHY; EPILEPSY; FACTUAL DATABASE; INFANT; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PRESCHOOL CHILD; PROCEDURES; SIGNAL PROCESSING; YOUNG ADULT;

ADOLESCENT; BRAIN; CHILD; CHILD, PRESCHOOL; DATABASES, FACTUAL; ELECTROENCEPHALOGRAPHY; ENTROPY; EPILEPSY; FEMALE; HUMANS; INFANT; MALE; NONLINEAR DYNAMICS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINE; YOUNG ADULT;

EID: 84924274370     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2015.01.015     Document Type: Article

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