Effect of Feature Selection by Genetic Algorithm on Early Prediction Performance of PAF Attack

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dc.contributor.authorNarin, Ali
dc.contributor.authorIsler, Yalcin
dc.contributor.authorOzer, Mahmut
dc.contributor.editorOzyildirim, BM
dc.contributor.editorYildirim, T
dc.date.accessioned2019-10-27T10:44:10Z
dc.date.available2019-10-27T10:44:10Z
dc.date.issued2018
dc.departmentEge Üniversitesien_US
dc.descriptionInnovations in Intelligent Systems and Applications Conference (ASYU) -- OCT 04-06, 2018 -- Adana, TURKEYen_US
dc.description.abstractThe heart is very important to pump in a healthy way, but any disease that can occur in the heart has vital preventive measures. One of the most important of these diseases is Atrial Fibrillation (AF). This disease is a disturbance caused by excitations that occur outside of the sinoatrial node that occurs in the atrium of the heart. Paroxysmal Atrial Fibrillation (PAF) is the first stage of AF. Early prediction of this disease prevents the disease from passing to the other heavier stages. In this study, it was aimed to develop a warning system that warns PAF patients before an attack begins. Starting from the PAF, 99 pieces of data consisting of 10 parts in 5 minutes were used. Time domain measurements and poincare plot measurements were obtained over the data. the features that best distinguish the classes have been determined by choosing a feature with a genetic algorithm. As a result, PAF can be predicted up to 7.5 minutes before the attack occurs using the selected features.en_US
dc.description.sponsorshipCUKUROVA Univ, Yildiz Tech Univ, IEEE Turkey Sect, Cukurova Univ Comp Eng Depten_US
dc.identifier.endpage8en_US
dc.identifier.isbn978-1-5386-7786-5
dc.identifier.startpage5en_US
dc.identifier.urihttps://hdl.handle.net/11454/30917
dc.identifier.wosWOS:000455592800038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 Innovations in Intelligent Systems and Applications Conference (Asyu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectparoxysmal atrial fibrillationen_US
dc.subjectheart rate variabilityen_US
dc.subjectgenetic algorithmen_US
dc.subjectfeature selectionen_US
dc.titleEffect of Feature Selection by Genetic Algorithm on Early Prediction Performance of PAF Attacken_US
dc.typeConference Objecten_US

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