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Heart sound analysis for symptom detection and computer-aided diagnosis
Department of Electrical Engineering, University of Hawaii, USA.
Department of Electrical Engineering, University of Hawaii, USA.
Linköping University, Department of Computer and Information Science.ORCID iD: 0000-0002-3435-4996
2004 (English)In: Simulation Modelling Practice and Theory, ISSN 1569-190X, Vol. 12, no 2, 129-146 p.Article in journal (Refereed) Published
Abstract [en]

Heart auscultation (the interpretation by a physician of heart sounds) is a fundamental component of cardiac diagnosis. It is, however, a difficult skill to acquire. In this work, we develop a simple model for the production of heart sounds, and demonstrate its utility in identifying features useful in diagnosis. We then present a prototype system intended to aid in heart sound analysis. Based on a wavelet decomposition of the sounds and a neural network-based classifier, heart sounds are associated with likely underlying pathologies. Preliminary results promise a system that is both accurate and robust, while remaining simple enough to be implemented at low cost.

Place, publisher, year, edition, pages
2004. Vol. 12, no 2, 129-146 p.
Keyword [en]
auscultation, cardiac, diagnosis, frequency analysis, heart, linear model, sound analysis, phonocardiogram
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-46228DOI: 10.1016/j.simpat.2003.11.005OAI: oai:DiVA.org:liu-46228DiVA: diva2:267124
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2014-10-08

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Reed, NancyFritzson, Peter

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  • apa
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