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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
Editor
Cihan H. Dagli
Cihan H. Dagli
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Anna L. Buczak
Anna L. Buczak
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David L. Enke
David L. Enke
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Mark Embrechts
Mark Embrechts
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Okan Ersoy
Okan Ersoy
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ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

Almost all cardiac abnormalities manifest themselves as an aberration in the normal phonocardiogram (PCG). Such aberrations are called murmurs, and locating a cardiac murmur in the PCG, to study physical characteristics of the underlying abnormality, is the first step in computer assisted cardiac diagnosis. In this paper we present a method to quantify visual simplicity of heart sounds that is independent of the sound absolute amplitude and frequency, while resulting in better characterization of murmurs. Then, we show that the simplicity of the systolic time interval assumes well defined patterns in the presence of systolic murmurs that can be used to classify them according to their location in systole and their most probable mechanism of production.

Abstract
Introduction
Simplicity Based Characterization of Heart Sounds
Results and Discussions
References
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