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Can a Smartphone Listen to Your Heart? A Performance Study on Detecting Abnormalities in Your Heart Sounds (AUSC1)

W

Wong Chun Ka

Status

Active, not recruiting

Conditions

Valvular Heart Disease
Cardiovascular Abnormalities
Heart Murmurs

Treatments

Diagnostic Test: Computer algorithms

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

This observational study aims to assess the performance of the software called ausculto™. ausculto™ is a collection of computer algorithms that intend to analyse heart sounds recorded from the built-in microphone of a smartphone for abnormal sounds.

Participants will have their heart sounds recorded during their regular clinic appointment after consenting to participate in this study.

Researchers will manually annotate the recorded heart sounds to create a database for use in future training and testing of artificial intelligence (AI) intended for medical uses.

Enrollment

577 estimated patients

Sex

All

Ages

22+ years old

Volunteers

No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

  • Age: ≥22 years (adult)
  • Outpatients who have undergone echocardiography within 3 years at their normal non-research follow-up clinic visit appointment

Exclusion Criterion:

  • Implanted active medical devices in the torso, such as pacemakers and defibrillators

Trial design

577 participants in 2 patient groups

Abnormal Echocardiography Diagnosis
Description:
Participants with abnormal echocardiography diagnosis within three years.
Treatment:
Diagnostic Test: Computer algorithms
Normal Echocardiography Diagnosis
Description:
Participants with normal echocardiography diagnosis within three years.
Treatment:
Diagnostic Test: Computer algorithms

Trial contacts and locations

1

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Central trial contact

Chun Ka Wong, MBBS

Data sourced from clinicaltrials.gov

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