A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine

dc.contributor.author	Diker, Aykut
dc.contributor.author	Avci, Derya
dc.contributor.author	Avci, Engin
dc.contributor.author	Gedikpinar, Mehmet
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2019
dc.identifier.issn	0030-4026
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10188
dc.identifier.uri	https://doi.org/10.1016/j.ijleo.2018.11.065
dc.description.abstract	The examination and classification of Electrocardiogram (ECG) records have become particularly significant for diagnosing heart diseases. Machine learning methods are widely used in classifying ECG signals. In this study, Physikalisch-Technische Bundesans
dc.language.iso	English
dc.publisher	Elsevıer Gmbh
dc.source	Optık
dc.title	A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine
dc.type	Article
dc.identifier.startpage	46
dc.identifier.endpage	55
dc.identifier.doi	10.1016/j.ijleo.2018.11.065
dc.identifier.wos	WOS:000462810600006
dc.identifier.volume	180

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