Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals

dc.contributor.author	Diker, A.
dc.contributor.author	Comert, Z.
dc.contributor.author	Avci, E.
dc.contributor.author	Velappan, S.
dc.date.accessioned	2021-12-16T10:12:07Z
dc.date.available	2021-12-16T10:12:07Z
dc.date.issued	2018
dc.identifier.isbn	9.78154E+12
dc.identifier.uri	https://doi.org/10.1109/SIU.2018.8404299
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12996
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	Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.source	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.title	Intelligent system based on Genetic Algorithm and support vector machine for detection of myocardial infarction from ECG signals
dc.type	Conference Paper
dc.identifier.startpage	1
dc.identifier.endpage	4
dc.identifier.doi	10.1109/SIU.2018.8404299
dc.identifier.scopus	2-s2.0-85050812929

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