Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6258
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dc.contributor.authorGüler, İnan-
dc.contributor.authorÜbeyli, Derya Elif-
dc.date.accessioned2021-09-11T15:35:30Z-
dc.date.available2021-09-11T15:35:30Z-
dc.date.issued2006en_US
dc.identifier.issn0957-4174-
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2005.09.006-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/6258-
dc.description.abstractIn this paper, we introduced fuzzy similarity index for analysis of the Doppler ultrasound signals. Doppler ultrasonography is a reliable technique, which demonstrates the flow characteristics and resistance of arteries in various arterial diseases. The analyzed ophthalmic arterial (OA) Doppler signals were recorded from healthy subjects and subjects suffering from ophthalmic artery stenosis, ocular Behcet disease and uveitis disease. The OA Doppler signals were decomposed into time-frequency representations using discrete wavelet transforrn and wavelet coefficients were calculated to represent the signals. The aim of the study is discriminating the OA Doppler signals by the combination of wavelet coefficients and fuzzy similarity index. Toward achieving this aim, fuzzy sets were obtained from the feature sets (wavelet coefficients) of the signals under study. Our results demonstrated that the similarity between the fuzzy sets of the studied signals indicated the variabilities in the OA Doppler signals. Thus, the fuzzy similarity index could discriminate the healthy CIA Doppler signals and the other three disease states (stenosis, ocular Behcet disease and uveitis). (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectfuzzy similarity indexen_US
dc.subjectwavelet coefficientsen_US
dc.subjectDoppler ultrasound signalsen_US
dc.subjectophthalmic arteryen_US
dc.titleAnalysis of Doppler Ultrasound Signals Based on Fuzzy Similarity Indexen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.volume31en_US
dc.identifier.issue1en_US
dc.identifier.startpage130en_US
dc.identifier.endpage136en_US
dc.identifier.wosWOS:000236903700014en_US
dc.identifier.scopus2-s2.0-33644772539en_US
dc.institutionauthorÜbeyli, Elif Derya-
dc.identifier.doi10.1016/j.eswa.2005.09.006-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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