Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6258
Title: Analysis of Doppler ultrasound signals based on fuzzy similarity index
Authors: Güler, İnan
Übeyli, Derya Elif
Keywords: fuzzy similarity index
wavelet coefficients
Doppler ultrasound signals
ophthalmic artery
Issue Date: 2006
Publisher: Pergamon-Elsevier Science Ltd
Abstract: In 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.
URI: https://doi.org/10.1016/j.eswa.2005.09.006
https://hdl.handle.net/20.500.11851/6258
ISSN: 0957-4174
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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