Testing a stethoscope and ECG tool to spot lung and heart pumping problems
Tests a digital stethoscope and heart tracing to detect pulmonary hypertension and weak heart pumping.
Plain-language title generated from the registry record
Registry title: Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
Key facts
- Where
- Norfolk, O'Fallon, and Springfield, United StatesSee the 4 sites
Where in United States
- Sentara Norfolk General HospitalNorfolk, United StatesTaking people
- Prairie CardiovascularO'Fallon, United StatesTaking people
- Prairie Education & Research CooperativeSpringfield, United StatesTaking people
- St Johns Hospital, SpringfieldSpringfield, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Eko Devices, Inc.
- Trial code
- NCT07087613
- Record updated
- 18 June 2026
- Original description
This is a prospective, observational study evaluating whether heart sounds (phonocardiograms) and three-lead electrocardiograms (ECGs) recorded using the Eko CORE 500 digital stethoscope can help detect pulmonary hypertension (PH) and low left ventricular ejection fraction (EF ≤ 40%). PH is a condition characterized by high blood pressure in the pulmonary arteries, which can lead to heart failure and carries significant risks if undiagnosed. Low EF, which indicates reduced pumping ability of the heart, is also associated with increased risk of severe cardiac events but can remain undetected because patients often have no symptoms or only nonspecific symptoms.Read full original descriptionShow less
Deep Learning for Detection of Pulmonary Hypertension and Reduced Left Ventricular Ejection Fraction Using a Combined Digital Stethoscope and Three-lead Electrocardiogram
This is a prospective, observational study evaluating whether heart sounds (phonocardiograms) and three-lead electrocardiograms (ECGs) recorded using the Eko CORE 500 digital stethoscope can help detect pulmonary hypertension (PH) and low left ventricular ejection fraction (EF ≤ 40%). PH is a condition characterized by high blood pressure in the pulmonary arteries, which can lead to heart failure and carries significant risks if undiagnosed. Low EF, which indicates reduced pumping ability of the heart, is also associated with increased risk of severe cardiac events but can remain undetected because patients often have no symptoms or only nonspecific symptoms.
In this study, adults undergoing clinically indicated echocardiograms or right heart catheterization at outpatient sites will be invited to participate. Participants will complete a single study session lasting about 20 minutes, during which heart sounds and a three-lead ECG will be collected using the Eko CORE 500 device. If participants have had a clinical 12-lead ECG within 30 days of their echocardiogram or right heart catheterization, those data may also be used for analysis. A clinically indicated echocardiogram or right heart catheterization (RHC) performed within seven days before or after the Eko CORE 500 recording will serve as the reference standard to confirm the presence or absence of PH and low EF.
Up to 3,850 participants may be enrolled across multiple sites to ensure that approximately 3,500 complete the study. The data collected will be used to develop and validate artificial intelligence (AI) algorithms that aim to detect PH and identify low EF, potentially enabling earlier and simpler screening for these conditions in clinical practice.
Inclusion: Adults aged 18 years and older; Able and willing to provide informed consent; Completed a clinical echocardiogram or right heart catheterization within 7 days before or after study procedures.
Exclusion: Patients undergoing echocardiography with a limited echocardiogram (does not apply to patients undergoing right heart catheterization); Unwilling or unable to provide informed consent; Patients who are hospitalized.