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dc.contributor.authorAlkan, A.
dc.contributor.authorKiymik, M.K.
dc.date.accessioned2021-01-25T20:52:14Z
dc.date.available2021-01-25T20:52:14Z
dc.date.issued2006
dc.identifier10.1007/s10916-005-9001-0
dc.identifier.issn01485598
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33845388538&doi=10.1007%2fs10916-005-9001-0&partnerID=40&md5=53e8fd3e34a0ee0766227042ec02f35c
dc.identifier.urihttps://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10770
dc.description.abstractBrain is one of the most critical organs of the body. Synchronous neuronal discharges generate rhythmic potential fluctuations, which can be recorded from the scalp through electroencephalography. The electroencephalogram (EEG) can be roughly defined as t
dc.language.isoEnglish
dc.publisherJournal of Medical Systems
dc.titleComparison of AR and Welch methods in epileptic seizure detection
dc.typeArticle
dc.relation.firstpage413
dc.relation.lastpage419
dc.relation.volume30
dc.relation.issue6
dc.description.affiliationsDepartment of Computer Engineering, Yasar University, Izmir 35500, Turkey; Department of Electrical and Electric Engineering, Kahramanmaraş Sütçü Imam University, Kahramanmaraş 46100, Turkey


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