Spectral analysis techniques in the detection of coronary artery stenosis

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.