A novel mobile epilepsy warning system

dc.contributor.author	Alkan, A.
dc.contributor.author	Sahin, Y.G.
dc.contributor.author	Karlik, B.
dc.date.accessioned	2021-01-25T20:52:12Z
dc.date.available	2021-01-25T20:52:12Z
dc.date.issued	2006
dc.identifier	10.1007/11941439-99
dc.identifier.issn	03029743
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880922605&doi=10.1007%2f11941439-99&partnerID=40&md5=a782ddd14150b7a4564c1d10dd7a79b7
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10767
dc.description.abstract	This paper presents a new design of mobile epilepsy warning system for medical application in telemedical environment. Mobile Epilepsy Warning System (MEWS) consists of a wig with a cap equipped with sensors to get Electroencephalogram (EEG) signals, a co
dc.language.iso	English
dc.publisher	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.title	A novel mobile epilepsy warning system
dc.type	Conference Paper
dc.relation.firstpage	922
dc.relation.lastpage	928
dc.relation.volume	4304 LNAI
dc.description.affiliations	Yasar University, Department of Computer Engineering, Bornova Campus, 35500, Izmir, Turkey; Fatih University, Department of Computer Engineering, Buyukcekmece, 34500, Istanbul, Turkey

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