Cardiac acoustics and a smart stethoscope

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• Edmund Kay
• Friday 20 October 2017, 13:00-14:00
• JDB Seminar Room, CUED.

If you have a question about this talk, please contact Charlotte Coles.

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.

This talk is included in these lists:

• Acoustics Lab Seminars
• Engineering Department Acoustics/Combustion Student seminars
• Fluids Group Seminar (CUED)
• JDB Seminar Room, CUED

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