A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection

Altstidl TR, Altstidl JM, Achenbach S, Eskofier B (2025)

Publication Type: Conference contribution

Publication year: 2025

Publisher: IEEE Computer Society

Pages Range: 3563-3572

Conference Proceedings Title: Proceedings of the Annual Hawaii International Conference on System Sciences

Event location: Honolulu, HI US

ISBN: 9780998133188

Abstract

Initial studies suggest that valve replacement may also benefit asymptomatic patients with severe aortic stenosis, who don't typically seek medical attention and thus require screening. As echocardiography, the current gold standard, is time-intensive and hence costly, a more convenient and broadly accessible alternative would be desirable. We present a cross-platform smartphone auscultation software development kit (SDK) for Android and iOS that uses the built-in microphone to record heart sounds. Our initial exploration shows that such recordings can detect 89% of severe aortic stenosis patients, compared to 95% for a digital stethoscope. In addition, we tackle the issue of smartphone audio quality as an image-to-image translation problem between spectrograms of smartphone and stethoscope recordings. Both CycleGAN and CUT are able to significantly decrease background noise, bringing the perceptual quality quantitatively and qualitatively closer to that of a digital stethoscope.

Authors with CRIS profile

Thomas Robert Altstidl Machine Learning and Data Analytics Lab Johannes Michael Altstidl Department of Medicine 2 – Cardiology and Angiology Stephan Achenbach Lehrstuhl für Innere Medizin II Björn Eskofier Machine Learning and Data Analytics Lab

How to cite

APA:

Altstidl, T.R., Altstidl, J.M., Achenbach, S., & Eskofier, B. (2025). A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection. In Tung X. Bui (Eds.), Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 3563-3572). Honolulu, HI, US: IEEE Computer Society.

MLA:

Altstidl, Thomas Robert, et al. "A Cross-Platform Smartphone Auscultation SDK and Optimized Filters for Severe Aortic Stenosis Detection." Proceedings of the 58th Hawaii International Conference on System Sciences, HICSS 2025, Honolulu, HI Ed. Tung X. Bui, IEEE Computer Society, 2025. 3563-3572.

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