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Title: Spectral analysis techniques in the detection of coronary artery stenosis
Authors: Übeyli, Elif Derya
Güler, İnan
Keywords: Automated diagnostic systems
Coronary artery stenosis
Feature extraction/selection
Spectral analysis techniques
Issue Date: 2007
Publisher: World Scientific Publishing Co.
Abstract: This chapter intends to study an integrated view of the spectral analysis techniques in the detection of coronary artery stenosis. The chapter includes illustrative and detailed information about medical decision support systems and feature extraction/selection from signals recorded from coronary arteries. In this respect, the chapter satisfies the automated diagnostic systems, which includes the spectral analysis techniques, feature extraction and/or selection methods, and decision support systems. The objective of the chapter is coherent with the objective of the book, which includes techniques in the detection of coronary artery stenosis, experiments for implementation of decision support systems, and measuring performance of decision support systems. The major objective of the chapter is to guide readers who want to develop an automated decision support system for detection of coronary artery stenosis. Toward achieving this objective, this chapter will present the techniques which should be considered in developing decision support systems. The authors suggest that the content of the chapter will assist the people in gaining a better understanding of the techniques in the detection of coronary artery stenosis. © 2007 by World Scientific Publishing Co. Pte. Ltd. All rights reserved.
ISBN: 9789812771391; 9812707980; 9789812709844
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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