Clinical Validation of Portable Electronic Stethoscope for Detecting VHD

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorThe University of Hong Kong

About this trial

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

Eligibility criteria

Qualifiers

Voluntarily agrees to participate by proving written informed consent

Have echocardiography done within 5 years

Disqualifiers

Mechanical heart valve

Adult congenital heart disease

Trial design

Treatments tested in this trial

  • BPM Core

Treatment groups

125 Participants
are divided into 5 treatment groups

Sponsors and collaborators