Heart murmur detection/classification using Cochlea-Like Pre-Processing and Artificial Intelligence
by W. Ahmad; M.I. Hayee; J.L. Fitzakerley; S. Burns; G. Nordehn
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 7, No. 1, 2011

Abstract: In this research paper, we used a novel approach to pre-process the heart sound signals by altering the electrical signal in a similar way as is done by human cochlea before they go to Artificial Intelligence (AI) for murmur detection/classification. Cochlea-like pre-processing changes the spectral contents of the heart sounds to enhance the murmur information which can then be detected/classified more accurately by AI circuitry. We designed a heart murmur detection/classification system based upon this approach and tested this system using simulated sounds of various murmur types. Our test results show that this approach significantly improves heart murmur detection/classification accuracy.

Online publication date: Wed, 21-Jan-2015

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