Abstract
In this paper, a novel approach for an automated algorithm design for cardiac murmurs detection and classification has been proposed. This approach is based on the measurement technique of the normalized time dependent sound energy decay used in room acoustics for characterization. Given a single heart sound recorded from the auscultation area of a patient, the algorithm computes the early time decay which can be used as indicator of possible pathology associated to corresponding patient heart valve. Results obtained from a restricted database of adult patients show that this novel approach demonstrates a potential promising as an alternative diagnostic tool to the traditional stethoscope for heart murmurs detection and classification.
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We would like to thank the members committee of the World Congress on Engineering WCE 2011 to have selected our conference paper as book chapter in the edited book published by Springer.
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Ahfir, M., Kale, I. (2013). A Novel Approach for Heart Murmurs Detection and Classification. In: Ao, SI., Gelman, L. (eds) Electrical Engineering and Intelligent Systems. Lecture Notes in Electrical Engineering, vol 130. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2317-1_12
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DOI: https://doi.org/10.1007/978-1-4614-2317-1_12
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