Epilepsy Detection using a Naive Signal Decomposition Method Combined with Fractal Dimension

dc.contributor.author	Polat Dautov, Cigdem
dc.contributor.author	Ozerdem, Mehmet Sirac
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2018
dc.identifier.isbn	978-1-5386-1501-0
dc.identifier.issn	2165-0608
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10325
dc.description.abstract	Electrodes attached to the surface of the scalp can measure Electroencephalogram (EEG) signals that are electrical impulses produced by nerves in the brain [1]. EEG signals are useful for doing deductions about the mental state of a person and diagnosing
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	26th IEEE Signal Processing and Communications Applications Conference (SIU)
dc.source	2018 26Th Sıgnal Processıng And Communıcatıons Applıcatıons Conference (Sıu)
dc.title	Epilepsy Detection using a Naive Signal Decomposition Method Combined with Fractal Dimension
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000511448500272

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