Clinical Validation of Portable Electronic Stethoscope for Detecting VHD

Recruiting now

Conditions studied: Heart Valve Diseases

In brief

The goal of this observational study is to evaluate accuracy of portable electronic stethoscope and machine learning-based diagnostic algorithms for detecting the disease in people with valvular heart disease and healthy controls. The main question it aims to answer is: Is portable electronic stethoscope and machine learning-based diagnostic algorithms allow accurate detection of valvular heart disease? Researchers will compare diagnostic algorithm's predictions with the clinicians' predictions to see if the diagnostic results are accurate. Participants will * take echocardiogram * take electrocardiogram using BPM Core * get the heart auscultation data measured via electronic stethoscope

Key facts

Study ID

NCT07568795

Run by

The University of Hong Kong

People needed

125

Starts

2024-07-03

Expected to finish

2026-12-31

Last updated by the study team

2026-05-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Voluntarily agrees to participate by proving written informed consent
• Have echocardiography done within 5 years

You may not qualify if…

• Mechanical heart valve
• Adult congenital heart disease

Where it is running

• Queen Mary Hospital — Hong Kong, Pok Fu Lam Rd., Hong Kong (enrolling)

Full record on ClinicalTrials.gov

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