University of Cambridge > > Fluids Group Seminar (CUED) > Cardiac acoustics and a smart stethoscope

Cardiac acoustics and a smart stethoscope

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Cardiovascular disease is the leading cause of mortality worldwide, causing 31% of all deaths. We investigate valvular heart diseases which create characteristic sounds, called murmurs. Using an in-vitro model of aortic stenosis (the most common valvular heart disease) we analyse the sound spectra of the murmur it produces. Using our understanding of this and other common murmurs, we have produced a machine learning algorithm which can detect these murmurs with an accuracy of up to 95%. This algorithm will be used to build an intelligent stethoscope, capable of automatically analysing heart sounds, to improve diagnosis worldwide.

This talk is part of the Fluids Group Seminar (CUED) series.

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