Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6332
Title: Automated Diagnostic Systems: Arterial Disorders Detection
Authors: Übeyli, Elif Derya
Keywords: Automated diagnostic systems
Spectral analysis techniques
Feature extraction/selection
Arterial disorders
Issue Date: 2008
Publisher: World Scientific And Engineering Acad And Soc
Source: 8th WSEAS International Conference on Applied Computer Science (ACS 08) -- NOV 21-23, 2008 -- Venice, ITALY
Series/Report no.: Recent Advances in Computer Engineering
Abstract: The paper includes illustrative and detailed information about implementation of automated diagnostic systems and feature extraction/selection from signals recorded from 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 author suggest that the content of the paper will assist to the people in gaining a better understanding of the techniques in the detection of arterial disorders.
URI: https://hdl.handle.net/20.500.11851/6332
ISBN: 978-960-474-028-4
ISSN: 1790-5109
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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