Analysis of wavelet extensions for epileptic seizure detection using support vector machine

dc.contributor.guide	Vallikannu A L
dc.coverage.spatial	Electronics Engineering
dc.creator.researcher	Kanna, Venkatesh T
dc.date.accessioned	2021-02-25T12:42:42Z
dc.date.available	2021-02-25T12:42:42Z
dc.date.awarded
dc.date.completed	2020
dc.date.registered
dc.description.abstract	file attached
dc.description.note	references p.172-202
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	202 p.
dc.identifier.uri	http://hdl.handle.net/10603/316491
dc.language	English
dc.publisher.institution	Department of Electronics and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Hindustan University
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Brain disorder
dc.subject.keyword	EEG
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.subject.keyword	Epileptic seizure
dc.subject.keyword	SVM Classifier
dc.title	Analysis of wavelet extensions for epileptic seizure detection using support vector machine
dc.title.alternative	-
dc.type.degree	Ph.D.