Feature measurements of ECG beats based on statistical classifiers

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dc.contributor.authorEngin, Mehmet
dc.contributor.authorFedakar, Musa
dc.contributor.authorEngin, Erkan Zeki
dc.contributor.authorKoruerek, Mehmet
dc.date.accessioned2019-10-27T19:59:36Z
dc.date.available2019-10-27T19:59:36Z
dc.date.issued2007
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this paper, we have studied two statistical classifiers: Mahalanobis and Minimum distance based, with new features of ECG (electrocardiogram) beats. We have used third-order cumulant, wavelet entropy, and AR (auto-regressive) coefficients as features. On testing with the MIT/BIH Arrhytmia database, we observed a better performance for the Mahalanobis distance classifier. To compare the obtained figures with the results in the literature by using different techniques of beat recognition, we provide some figures. The comparison denotes the moderate rate of the proposed method, but it is really difficult to compare the results respect to the same type and numbers. The proposed method also has an advantage that the training computation time is lower than that of artificial neural network (ANN) based classifiers. Because the mentioned statistical classifiers use only one iteration for the training step to obtain the center of classes, whereas many iterations are used by an ANN for training. (C) 2006 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.measurement.2006.10.012
dc.identifier.endpage912en_US
dc.identifier.issn0263-2241
dc.identifier.issn0263-2241en_US
dc.identifier.issue09.Octen_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage904en_US
dc.identifier.urihttps://doi.org/10.1016/j.measurement.2006.10.012
dc.identifier.urihttps://hdl.handle.net/11454/41196
dc.identifier.volume40en_US
dc.identifier.wosWOS:000250738800014en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMeasurementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectECG beat classificationen_US
dc.subjectMIT/BIH database-en_US
dc.subjecthigher-order statisticsen_US
dc.subjectwavelet transformen_US
dc.subjectentropyen_US
dc.subjectAR modelingen_US
dc.subjectstatistical classifiersen_US
dc.subjectpattern recognitionen_US
dc.titleFeature measurements of ECG beats based on statistical classifiersen_US
dc.typeArticleen_US

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