Epileptic seizure detection using DWT based fuzzy approximate entropy and support vector machine

Epilepsy is a common neurological condition which affects the central nerve system that causes people to have a seizure and can be assessed by electroencephalogram (EEG). A wavelet based fuzzy approximate entropy (fApEn) method is presented for the classification of electroencephalogram (EEG) signal...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 133; s. 271 - 279
Hlavní autori:	Kumar, Yatindra, Dewal, M.L., Anand, R.S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 10.06.2014 Elsevier
Predmet:	Applied sciences Approximation Biological and medical sciences Classification Computer science; control theory; systems Data processing. List processing. Character string processing Discrete wavelet transform (DWT) Electrodiagnosis. Electric activity recording Electroencephalogram (EEG) Electroencephalography Entropy Exact sciences and technology Fuzzy Fuzzy approximate entropy (fApEn) Fuzzy logic Fuzzy set theory Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy Investigative techniques, diagnostic techniques (general aspects) Medical sciences Memory organisation. Data processing Nervous system Nervous system (semeiology, syndromes) Neurology Software Support vector machines Support vector machines (SVMs) Discrete wavelet transform (DWT) Support vector machines (SVMs) Electroencephalogram (EEG) Fuzzy approximate entropy (fApEn) Chaos Subband decomposition Epilepsy Electroencephalography Entropy Discrete wavelet transforms Modeling Complex variable method Radial basis function Fuzzy logic Wavelet transformation Vector support machine Mental disorder
ISSN:	0925-2312, 1872-8286
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