Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6259
Title: Analysis of Doppler Ultrasound Signals: Ophthalmic Arterial Disorders Detection Case
Authors: Übeyli, Elif Derya
Keywords: Spectral analysis techniques
Automated diagnostic systems
Feature extraction/selection
Ophthalmic arterial disorders
Issue Date: 2009
Publisher: IEEE
Source: Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society -- SEP 03-06, 2009 -- Minneapolis, MN
Series/Report no.: IEEE Engineering in Medicine and Biology Society Conference Proceedings
Abstract: The paper includes illustrative and detailed information about implementation of automated diagnostic systems and feature extraction/selection from signals recorded from ophthalmic arteries. The major objective of the paper is to be a guide for the readers, who want to develop an automated diagnostic systems for detection of arterial disorders. Toward achieving this objective, this paper present the techniques which should be considered in developing automated diagnostic systems. The paper will assist to the people in gaining a better understanding of the techniques in the detection of arterial disorders.
URI: https://doi.org/10.1109/IEMBS.2009.5335072
https://hdl.handle.net/20.500.11851/6259
ISBN: 978-1-4244-3295-0
ISSN: 1557-170X
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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