Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients

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dc.authoridGURKAN KUNTALP, DAMLA/0000-0003-0617-7918
dc.contributor.authorKutlu, Yakup
dc.contributor.authorKuntalp, Damla
dc.date.accessioned2024-09-18T21:00:40Z
dc.date.available2024-09-18T21:00:40Z
dc.date.issued2012
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThis paper describes feature extraction methods using higher order statistics (HOS) of wavelet packet decomposition (WPD) coefficients for the purpose of automatic heartbeat recognition. The method consists of three stages. First, the wavelet package coefficients (WPC) are calculated for each different type of ECG beat. Then, higher order statistics of WPC are derived. Finally, the obtained feature set is used as input to a classifier, which is based on k-NN algorithm. The MIT-BIH arrhythmia database is used to obtain the ECG records used in this study. All heartbeats in the arrhythmia database are grouped into five main heartbeat classes. The classification accuracy of the proposed system is measured by average sensitivity of 90%, average selectivity of 92% and average specificity of 98%. The results show that HOS of WPC as features are highly discriminative for the classification of different arrhythmic ECG beats. (C) 2011 Elsevier Ireland Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.cmpb.2011.10.002
dc.identifier.endpage267en_US
dc.identifier.issn0169-2607
dc.identifier.issn1872-7565
dc.identifier.issue3en_US
dc.identifier.pmid22055998en_US
dc.identifier.scopus2-s2.0-84856230584en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage257en_US
dc.identifier.urihttps://doi.org/10.1016/j.cmpb.2011.10.002
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12815
dc.identifier.volume105en_US
dc.identifier.wosWOS:000300603700007en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevier Ireland Ltden_US
dc.relation.ispartofComputer Methods and Programs in Biomedicineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWavelet packet decompositionen_US
dc.subjectHigher order statisticsen_US
dc.subjectClassificationen_US
dc.subjectArrhythmiaen_US
dc.subjectECG beaten_US
dc.subjectHeartbeaten_US
dc.subjectk-nearest neighborsen_US
dc.titleFeature extraction for ECG heartbeats using higher order statistics of WPD coefficientsen_US
dc.typeArticleen_US

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