Classification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural network

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dc.contributor.authorCeylan, Murat
dc.contributor.authorCeylan, Rahime
dc.contributor.authorDirgenali, Fatma
dc.contributor.authorKara, Sadik
dc.contributor.authorOzbay, Yuksel
dc.date.accessioned2020-03-26T17:17:06Z
dc.date.available2020-03-26T17:17:06Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, carotid arterial Doppler ultrasound signals were acquired from left carotid arteries of 38 patients and 40 healthy volunteers. The patient group had an established diagnosis of the early phase of atherosclerosis through coronary or aortofemoropopliteal angiographies. Results were classified using complex-valued artificial neural network (CVANN). Principal component analysis (PCA) and fuzzy c-means clustering (FCM) algorithm were used to make a CVANN system more effective. For this aim, before classifying with CVANN, PCA method was used for feature extraction in PCA-CVANN architecture and FCM algorithm was used for data set reduction in FCM-CVANN architecture. Training and test data were selected randomly using 10-fold cross validation. PCA-CVANN and FCM-CVANN architectures classified healthy and unhealthy subjects for training and test data with about 100% correct classification rate. These results shown that PCA-CVANN and FCM-CVANN classified Doppler signals successfully. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.compbiomed.2005.08.005en_US
dc.identifier.endpage36en_US
dc.identifier.issn0010-4825en_US
dc.identifier.issue1en_US
dc.identifier.pmid16343473en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage28en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.compbiomed.2005.08.005
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21268
dc.identifier.volume37en_US
dc.identifier.wosWOS:000242962300004en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofCOMPUTERS IN BIOLOGY AND MEDICINEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectatherosclerosisen_US
dc.subjectDoppleren_US
dc.subjectcomplex valued ANNen_US
dc.subjectcarotid arteryen_US
dc.titleClassification of carotid artery Doppler signals in the early phase of atherosclerosis using complex-valued artificial neural networken_US
dc.typeArticleen_US

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