Improvement of an Algorithm to Detect Structural Heart Murmurs in Adult Patients Using Electronic Stethoscopes
Eko Devices, Inc.
125 participants
Sep 1, 2025
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Plain Language Summary
Simplified for easier understanding
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Interventions
Use of the Eko CORE 500 digital stethoscope and 3M Littmann CORE Digital Stethoscope to auscultate and record cardiac phonocardiogram and (when available) electrocardiogram waveforms, as well as heart sounds.
Locations(1)
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NCT07202104