Hidden Markov Model-based Classification of Heart Valve Disease with PCA for Dimension Reduction

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dc.contributor.authorSaracoglu, Ridvan
dc.date.accessioned2020-03-26T18:30:40Z
dc.date.available2020-03-26T18:30:40Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, a biomedical system to classify heart sound signals obtained with a stethoscope, has been proposed. For this purpose, data from healthy subjects and those with cardiac valve disease (pulmonary stenosis (PS) or mitral stenosis (MS)) have been used to develop a diagnostic model. Feature extraction from heart sound signals has been performed. These features represent heart sound signals in the frequency domain by Discrete Fourier Transform (DFT). The obtained features have been reduced by a dimension reduction technique called principal component analysis (PCA). A discrete hidden Markov model (DHMM) has been used for classification. This proposed PCA-DHMM-based approach has been applied on two data sets (a private and a public data set). Experimental classification results show that the dimension reduction process performed by PCA has improved the classification of heart sound signals. (C) 2012 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationSaracoglu, R., (2012). Hidden Markov Model-based Classification of Heart Valve Disease with PCA for Dimension Reduction. Engineering Applications of Artificial Intelligence. 25(7), 1523-1528.
dc.identifier.doi10.1016/j.engappai.2012.07.005en_US
dc.identifier.endpage1528en_US
dc.identifier.issn0952-1976en_US
dc.identifier.issn1873-6769en_US
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1523en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.engappai.2012.07.005
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28108
dc.identifier.volume25en_US
dc.identifier.wosWOS:000309787800023en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSaracoglu, Ridvan
dc.language.isoenen_US
dc.publisherPergamon-elsevier Science Ltden_US
dc.relation.ispartofEngineering Applications Of Artificial Intelligenceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDiscrete Fourier transformen_US
dc.subjectPrincipal component analysisen_US
dc.subjectClassificationen_US
dc.subjectDiscrete hidden Markov modelen_US
dc.titleHidden Markov Model-based Classification of Heart Valve Disease with PCA for Dimension Reductionen_US
dc.typeArticleen_US

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