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

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

NCT06070298

AUSC1

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