Can a Smartphone Listen to Your Heart? A Performance Study on Detecting Abnormalities in Your Heart Sounds
NCT ID: NCT06070298
Last Updated: 2025-04-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
577 participants
OBSERVATIONAL
2023-12-01
2025-05-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Abnormal Echocardiography Diagnosis
Participants with abnormal echocardiography diagnosis within three years.
Computer algorithms
Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
Normal Echocardiography Diagnosis
Participants with normal echocardiography diagnosis within three years.
Computer algorithms
Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
Interventions
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Computer algorithms
Collection of lightweight computer algorithms called ausculto™ that is designed to perform real-time heart sound analysis to detect heart murmur.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* 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
22 Years
ALL
No
Sponsors
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Laboratory of Data Discovery for Health
UNKNOWN
The University of Hong Kong
OTHER
Wong Chun Ka
OTHER
Responsible Party
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Wong Chun Ka
Clinical Assistant Professor
Principal Investigators
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Chun Ka Wong, MBBS
Role: PRINCIPAL_INVESTIGATOR
The University of Hong Kong
Locations
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Queen Mary Hospital
Hong Kong, Hong Kong SAR, China
Countries
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Other Identifiers
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AUSC1
Identifier Type: -
Identifier Source: org_study_id
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