Cardiac sound analyzation using convolutional neural network

dc.authorid0000-0002-3325-4731
dc.contributor.authorKayıkçı, Şafak
dc.date.accessioned2021-06-23T18:51:27Z
dc.date.available2021-06-23T18:51:27Z
dc.date.issued2019
dc.departmentBAİBÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 -- 11 October 2019 through 13 October 2019 -- -- 156063en_US
dc.description.abstractHealth services are spreading more and more into the electronic world and the prediction of diseases is increasingly becoming real than science fiction. The classification of recorded patient heartbeats as murmur, normal or artifact also illustrates the use of these technologies. This paper examines how it can be classified by convolutional neural networks. © 2019 IEEE.en_US
dc.description.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8932952
dc.identifier.doi10.1109/ISMSIT.2019.8932952
dc.identifier.isbn9781728137896
dc.identifier.scopus2-s2.0-85078029750en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ISMSIT.2019.8932952
dc.identifier.urihttps://hdl.handle.net/20.500.12491/3785
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKayıkçı, Şafak
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCassificationen_US
dc.subjectConfusion Matrixen_US
dc.subjectConvolutional Neural Networken_US
dc.subjectHeartbeaten_US
dc.titleCardiac sound analyzation using convolutional neural networken_US
dc.typeConference Objecten_US

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