A novel ECG signal classification method using DEA-ELM

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Date
2020
Author
Diker, Aykut
Avci, Engin
Tanyildizi, Erkan
Gedikpinar, Mehmet
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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
URI
http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9984
https://doi.org/10.1016/j.mehy.2019.109515
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