Clinical trial Recruiting at 1 site Observational Ages 18 and up

Portable electronic stethoscope and machine-learning detection of heart valve disease

Official title: Clinical Validation of Portable Electronic Stethoscope for Detecting Valvular Heart Disease

Run by The University of Hong Kong · NCT07568795 · Data updated 2026-11-12

We will test whether a portable electronic stethoscope combined with a machine-learning algorithm can accurately detect valvular heart disease in people with known valve problems and in healthy volunteers.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment125 (estimated)
SponsorThe University of Hong Kong
Academic / other
Locations1 site (Hong Kong, Pok Fu Lam Rd.)
StatusRecruiting
StartedJuly 3, 2024
Main results expectedAugust 21, 2024
Study endsDecember 31, 2026
Registry record updatedMay 6, 2026
Trial IDNCT07568795 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults who can give informed consent, have a prior echocardiogram within five years, and either have a diagnosed valvular heart condition or are healthy volunteers willing to attend Queen Mary Hospital are ideal candidates.

Probably not a fit

People with mechanical heart valves or adult congenital heart disease are excluded and are unlikely to benefit from this specific algorithm-based detection approach.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study records heart sounds with two portable electronic stethoscopes (BPM Core and BeamO) and compares machine-learning algorithm predictions to clinicians' interpretations and echocardiogram results. Participants include 100 patients diagnosed with valvular heart disease and 25 healthy controls recruited at Queen Mary Hospital in Hong Kong. Each participant will undergo echocardiography (within the prior five years), an ECG using the BPM Core device, and auscultation recordings for algorithm analysis. The main outcome is diagnostic agreement and accuracy of the algorithms versus clinician readings and echocardiographic findings.

Why it matters

Potential benefit: If successful, this approach could provide a low-cost, portable screening tool to help detect valvular heart disease earlier and expand access to screening outside specialist centers.

How similar studies have gone: Prior research using electronic auscultation and machine-learning has shown promising but variable accuracy for detecting murmurs and valve lesions, with external validation still limited.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

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

Exclusion Criteria:

* Mechanical heart valve
* Adult congenital heart disease

Where it's running

  • Queen Mary Hospital
    Hong Kong, Pok Fu Lam Rd., Hong Kong
    Recruiting

Study contacts

Similar studies

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How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.