Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/115770
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dc.contributor.authorBaali, H.en
dc.contributor.authorAkmeliawati, R.en
dc.contributor.authorSalami, M.en
dc.contributor.authorKhorshidtalab, A.en
dc.contributor.authorLim, E.en
dc.date.issued2014en
dc.identifier.citationIEEE Signal Processing Letters, 2014; 21(10):1293-1297en
dc.identifier.issn1070-9908en
dc.identifier.issn1558-2361en
dc.identifier.urihttp://hdl.handle.net/2440/115770-
dc.description.abstractIn this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform. The technique involves the mapping of the ECG heartbeats into the singular values (SV) domain using the left singular vectors matrix of the impulse response matrix of the LPC filter. The resulting spectral coefficients vector would be concentrated, leading to an approximation to a sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the model parameters. The Prony's method is first employed to obtain initial estimates of the model, while the Levenberg-Marquardt (LM) method is then applied to solve the non-linear least-square optimization problem. The ECG signal is reconstructed using the EDS parameters and the linear prediction coefficients via the inverse transform. The merit of the proposed modeling technique is illustrated on the clinical data collected from the MIT-BIH database including all the arrhythmias classes that are recommended by the Association for the Advancement of Medical Instrumentation (AAMI). For all the tested ECG heartbeats, the average values of the percent root mean square difference (PRDs) between the actual and the reconstructed signals were relatively low, varying between a minimum of 3.1545% for Premature Ventricular Contractions (PVC) class and a maximum of 10.8152% for Nodal Escape (NE) class.en
dc.description.statementofresponsibilityH. Baali, R. Akmeliawati, M.J.E. Salami, A. Khorshidtalab and E. Limen
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.en
dc.subjectECG parametric modelling; linear prediction coefficient; orthogonal transform; Prony’s method; singular value decompositionen
dc.titleECG parametric modeling based on signal dependent orthogonal transformen
dc.typeJournal articleen
dc.identifier.rmid0030085470en
dc.identifier.doi10.1109/LSP.2014.2332425en
dc.identifier.pubid393595-
pubs.library.collectionMechanical Engineering publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidAkmeliawati, R. [0000-0003-0660-2312]en
Appears in Collections:Mechanical Engineering publications

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