MedTrace Logo

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

NCT06404437 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-12-24

No results posted yet for this study

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.

Conditions

  • Aortic Valve Stenosis

Interventions

DIAGNOSTIC_TEST

Auscultation

Auscultation at five auscultation points using a digital stethoscope and a smartphone

Sponsors & Collaborators

  • University of Erlangen-Nürnberg Medical School

    collaborator OTHER

  • University Hospital Erlangen

    collaborator OTHER

  • Friedrich-Alexander-Universität Erlangen-Nürnberg

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-03-09
Primary Completion
2024-05-22
Completion
2026-03-01

Countries

  • Germany

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06404437 on ClinicalTrials.gov