Classification of ECG Arrhythmias using Type-2 Fuzzy Clustering Neural Network

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dc.contributor.authorCeylan, Rahime
dc.contributor.authorOzbay, Yueksel
dc.contributor.authorKarlik, Bekir
dc.date.accessioned2020-03-26T17:38:03Z
dc.date.available2020-03-26T17:38:03Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description14th National Biomedical Engineering Meeting -- MAY 20-22, 2009 -- Izmir, TURKEYen_US
dc.description.abstractIn this study, Type-2 Fuzzy Clustering Neural Network (T2FCNN) architecture realized for classification of electrocardiography arrhythmias is presented. Type-2 fuzzy clustering neural network is cascade structure formed by clustering and classification stages. In T2FCNN architecture, clustering stage consisted of select best patterns in all patterns that belongs to same class is executed by type-2 fuzzy c-means clustering (T2FCM). The aim of using T2FCM clustering algorithm is to reduce classification error of neural network by optimization of training pattern set. A new training set consisted of cluster centers obtained by type-2 fuzzy c-means clustering algorithm for each class as separately is formed inputs of neural network. Neural network is trained using backpropagation algorithm. Proposed structure is used classification of five ECG signal class composed normal sinus rhythm, sinus bradycardia, sinus arrhythmia, right bundle branch block and left bundle branch block. Data used in this study is obtained from Physionet database, that belongs to MIT-BIH ECG Arrhythmia Database. In the end of making applications, proposed T2FCNN structure is classified ECG arrhythmias with 99% detection rate.en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-1-4244-3605-7
dc.identifier.startpage5en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23354
dc.identifier.wosWOS:000274345400002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartofBIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETINGen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectType-2 fuzzy c-means clustering algorithmen_US
dc.subjectECGen_US
dc.subjectArtificial neural networksen_US
dc.titleClassification of ECG Arrhythmias using Type-2 Fuzzy Clustering Neural Networken_US
dc.typeConference Objecten_US

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