Effects of Complex Wavelet Transform with Different Levels in Classification of ECG Arrhytmias using Complex-Valued ANN

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dc.contributor.authorCeylan, Murat
dc.contributor.authorOzbay, Yueksel
dc.date.accessioned2020-03-26T17:38:25Z
dc.date.available2020-03-26T17:38:25Z
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, a new structure formed by complex wavelet transform (CHIT) with different levels and complex-valued artificial neural network (CVANN) is proposed for classification of ECG arryhytmias. In this structure, features of ECG data are extracted using CWT and data size is reduced. After then, four statistical features (maximum value, minimum value, mean value and standard deviation) are obtained from; extracted features. These new statistical features are presented to CVANN as inputs. Data set used in this studs,, including five different arrhytmias (normal sinus rhythm, right bundle branch block, left bundle branch block, atrial fibrilation and atrial flutter), are selected from MIT-BIH ECG database. Number of samples in training and test sets for each pattern is reduced from 200 real-valued samples to 100, 50 and 25 complex-valued samples using first level CWT second level CWT and third level CWT respectively. Classificaton results shown that arrhytmias are classified with 100 % accuracy rate using CWT with third level. Classification process was done in 32.62 second.en_US
dc.identifier.endpage4en_US
dc.identifier.isbn978-1-4244-3605-7
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23473
dc.identifier.wosWOS:000274345400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_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.subjectECGen_US
dc.subjectComplex wavelet transformen_US
dc.subjectCVANNen_US
dc.titleEffects of Complex Wavelet Transform with Different Levels in Classification of ECG Arrhytmias using Complex-Valued ANNen_US
dc.typeConference Objecten_US

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