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Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)
Sponsor: Friedrich-Alexander-Universität Erlangen-Nürnberg
Summary
Severe aortic stenosis, a common heart valve issue, is usually treated surgically or through intervention. Diagnosis typically occurs after symptoms appear, but research suggests already treating asymptomatic cases may help patients live longer. Current diagnostics using echocardiography are detailed but time-consuming, prompting the exploration of a smartphone application using built-in microphones and machine learning for quicker and more accessible screening.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2023-03-09
Completion Date
2026-03-01
Last Updated
2025-12-24
Healthy Volunteers
Yes
Conditions
Interventions
Auscultation
Auscultation at five auscultation points using a digital stethoscope and a smartphone
Locations (1)
Deparment of Medicine 2 - Cardiology and Angiology, Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany