Improvement of an Algorithm to Detect Structural Heart Murmurs in Adult Patients Using Electronic Stethoscopes
Withdrawn before enrolling
Conditions studied: Structural Heart Disease
In brief
The main objective of this study is to evaluate a machine learning model's ability to detect murmurs indicative of structural heart disease ("structural murmur") by analyzing phonocardiogram waveforms-and simultaneous electrocardiogram waveforms when available-in multiple auscultatory positions per subject. Diagnosis of structural murmur will be confirmed by gold-standard echocardiography and reviewed by an expert panel of cardiologists.
Key facts
- Study ID
- NCT07202104
- Run by
- Eko Devices, Inc.
- People needed
- 0
- Starts
- 2026-06-29
- Expected to finish
- 2026-06-29
- Last updated by the study team
- 2026-07-15
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- 18+ years old
- Patient or patient's legal healthcare proxy consents to participation
- Documented history of SHD
- Undergoing (or has undergone, within 30 days) a complete echocardiogram
- Willing to have heart recordings done with two different electronic stethoscopes
You may not qualify if…
- Patient or proxy is unwilling/unable to give written informed consent
- Unable to complete a complete echocardiogram, or none recent completed within the last 30 days
- No documented history of SHD
- Experiencing a known or suspected acute cardiac event
- Mechanical ventricular support (such as ECMO, LVAD, RVAD, BiVAD, Impella, intra-aortic balloon pumps, TAH, VentrAssist, DuraHeart, HVAD, EVAHEART LVAS, HeartMate, Jarvik 2000)
- Unwilling or unable to follow or complete study procedures
Where it is running
- Cox Medical Centers — Springfield, Missouri, United States
Full record on ClinicalTrials.gov
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