A Novel Application based on Spectrogram and Convolutional Neural Network for ECG Classification

dc.contributor.author	Diker, A.
dc.contributor.author	Comert, Z.
dc.contributor.author	Avci, E.
dc.contributor.author	Togacar, M.
dc.contributor.author	Ergen, B.
dc.date.accessioned	2021-12-16T10:11:55Z
dc.date.available	2021-12-16T10:11:55Z
dc.date.issued	2019
dc.identifier.isbn	9.78173E+12
dc.identifier.uri	https://doi.org/10.1109/UBMYK48245.2019.8965506
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/12852
dc.description.abstract	Electrocardiogram (ECG) is a biomedical signal which represents the electrical activity of the human heart. Various cardiac diseases have been detected using the outputs of ECG devices. Recently, advances in signal processing techniques bring out a new ho
dc.language.iso	English
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof	1st International Informatics and Software Engineering Conference, IISEC 2019
dc.source	1st International Informatics and Software Engineering Conference: Innovative Technologies for Digital Transformation, IISEC 2019 - Proceedings
dc.title	A Novel Application based on Spectrogram and Convolutional Neural Network for ECG Classification
dc.type	Conference Paper
dc.identifier.doi	10.1109/UBMYK48245.2019.8965506
dc.identifier.scopus	2-s2.0-85079245453

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