A novel ECG signal classification method using DEA-ELM

dc.contributor.author	Diker, Aykut
dc.contributor.author	Avci, Engin
dc.contributor.author	Tanyildizi, Erkan
dc.contributor.author	Gedikpinar, Mehmet
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2020
dc.identifier.issn	0306-9877
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9984
dc.identifier.uri	https://doi.org/10.1016/j.mehy.2019.109515
dc.description.abstract	Electrocardiogram (ECG) signals represent the electrical mobility of the human heart. In recent years, computer-aided systems have helped to cardiologists in the detection, classification and diagnosis of ECG. The aim of this paper is to optimize the numb
dc.language.iso	English
dc.publisher	Churchıll Lıvıngstone
dc.source	Medıcal Hypotheses
dc.title	A novel ECG signal classification method using DEA-ELM
dc.type	Article
dc.identifier.doi	10.1016/j.mehy.2019.109515
dc.identifier.wos	WOS:000517350600025
dc.identifier.volume	136

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