Classification of internal carotid artery Doppler signals using fuzzy discrete hidden Markov model

dc.contributor.authorUguz, Harun
dc.contributor.authorKodaz, Halife
dc.date.accessioned2020-03-26T18:13:56Z
dc.date.available2020-03-26T18:13:56Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractWe developed a biomedical system based on Discrete Hidden Markov Model (DHMM). The aim of our system is to classify the internal carotid artery Doppler signals. We applied a fuzzy approach to DHMM. Thus we decreased information loss and increased the classification performance. Our system reached 97.38% of classification accuracy with 5 fold cross validation. These results showed that the Fuzzy Discrete Hidden Markov Model (FDHMM) method is effective for classification of internal carotid artery Doppler signals. (C) 2010 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThe authors acknowledge the support of this study provided by Selcuk University Scientific Research Projects.en_US
dc.identifier.doi10.1016/j.eswa.2010.12.084en_US
dc.identifier.endpage7414en_US
dc.identifier.issn0957-4174en_US
dc.identifier.issue6en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage7407en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2010.12.084
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26230
dc.identifier.volume38en_US
dc.identifier.wosWOS:000288343900114en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofEXPERT SYSTEMS WITH APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy discrete hidden Markov modelen_US
dc.subjectDoppler signalen_US
dc.subjectCarotid arteryen_US
dc.subjectPower spectral densityen_US
dc.subjectAutoregressive methoden_US
dc.titleClassification of internal carotid artery Doppler signals using fuzzy discrete hidden Markov modelen_US
dc.typeArticleen_US

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