Pattern detection of atherosclerosis from Carotid Artery Doppler Signals using fuzzy weighted pre-processing and Least Square Support Vector Machine (LSSVM)

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dc.contributor.authorPolat, Kemal
dc.contributor.authorKara, Sadik
dc.contributor.authorLatifoglu, Fatma
dc.contributor.authorGunes, Salih
dc.date.accessioned2020-03-26T17:17:50Z
dc.date.available2020-03-26T17:17:50Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractCarotid Artery Doppler Signals were recorded from 114 subjects, 60 of whom had Atherosclerosis disease while the rest were healthy controls. Diagnosis of Atherosclerosis from Carotid Artery Doppler Signals was conducted using Fuzzy weighted pre-processing and Least Square Support Vector Machine (LSSVM). First, in order to determine the LSSVM inputs, spectral analysis of Carotid Artery Doppler Signals was performed via Autoregressive (AR) modeling. Then, fuzzy weighted pre-processing based is proposed expert system, applied to inputs obtained from spectral analysis of Carotid Artery Doppler Signals. LSSVM was used to detect Atherosclerosis from Carotid Artery Doppler Signals. All data set were obtained from Carotid Artery Doppler Signals of healthy subjects and subjects suffering from Atherosclerosis disease. The employed expert system has achieved 100% classification accuracy using a 10-fold Cross Validation (CV) method.en_US
dc.identifier.doi10.1007/s10439-007-9289-7en_US
dc.identifier.endpage732en_US
dc.identifier.issn0090-6964en_US
dc.identifier.issue5en_US
dc.identifier.pmid17387616en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage724en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10439-007-9289-7
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21518
dc.identifier.volume35en_US
dc.identifier.wosWOS:000245816900004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofANNALS OF BIOMEDICAL ENGINEERINGen_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.subjectcarotid arteryen_US
dc.subjectARen_US
dc.subjectfuzzy weighting pre-processingen_US
dc.subjectLSSVMen_US
dc.titlePattern detection of atherosclerosis from Carotid Artery Doppler Signals using fuzzy weighted pre-processing and Least Square Support Vector Machine (LSSVM)en_US
dc.typeArticleen_US

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