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Detection of Reduced Left Ventricular Ejection Fraction With Three-Lead ECG Using Artificial Intelligence
Sponsor: Eko Devices, Inc.
Summary
The main objectives of this study are to train and evaluate an algorithm that predicts whether an individual has an ejection fraction ≤ 40%, using heart sounds and a 3-lead ECG as inputs, as well as determine the impact of gender, age, and race on algorithm performance.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
500
Start Date
2025-08-01
Completion Date
2026-11-01
Last Updated
2025-12-18
Healthy Volunteers
Yes
Conditions
Interventions
Eko digital stethoscopes
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)
P. D. Hinduja Hospital and Medical Research Centre
Mumbai, Maharashtra, India