Implementation of automated diagnostic systems: ophthalmic arterial disorders detection case

Authors:
Elif Derya Ubeyli
Affiliations:
Faculty of Engineering, Department of Electrical and Electronics Engineering, TOBB Ekonomi ve Teknoloji Universitesi, Ankara, Turkey
Venue:
International Journal of Systems Science
Year:
2009

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Abstract

This article intends to give an integrated view of the automated diagnostic systems combined with spectral analysis techniques in the detection of arterial disorders. The article 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 article is to be a guide for readers who want to develop an automated diagnostic systems for detection of arterial disorders. Towards achieving this objective, this article presents the techniques which should be considered in developing automated diagnostic systems. The author suggests that the content of the article will assist people in gaining a better understanding of the techniques in the detection of arterial disorders.