Intelligent System based on Genetic Algorithm and Support Vector Machine for Detection of Myocardial Infarction from ECG signals

dc.contributor.author	Diker, Aykut
dc.contributor.author	Comert, Zafer
dc.contributor.author	Avci, Engin
dc.contributor.author	Velappan, Subha
dc.date.accessioned	2021-12-16T09:07:20Z
dc.date.available	2021-12-16T09:07:20Z
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/20.500.12643/10323
dc.description.abstract	Myocardial Infarction (MI) is one of the well-known heart attacks. This cardiac abnormality occurs when the artery connecting the heart is blocked. The main aim of this paper is to identify electrocardiogram (ECG) signals using morphological, time-domain
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	Intelligent System based on Genetic Algorithm and Support Vector Machine for Detection of Myocardial Infarction from ECG signals
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000511448500152

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