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ACTIVE NOT RECRUITING
NCT06404437

Detection of Aortic Stenosis With Smartphone Auscultation Using Machine Learning (HEARTBEAT-Pilot)

Sponsor: Friedrich-Alexander-Universität Erlangen-Nürnberg

View on ClinicalTrials.gov

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

Interventions

DIAGNOSTIC_TEST

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