RecruitingNCT05873387

Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope

Deep Learning for Algorithmic Detection of Pulmonary Hypertension Using a Combined Digital Stethoscope and Single-lead Electrocardiogram


Sponsor

Eko Devices, Inc.

Enrollment

2,420 participants

Start Date

Jul 12, 2023

Study Type

OBSERVATIONAL

Conditions

Summary

The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography or right heart catheterization (RHC), and therefore have a potential to assist the provider to suspect PH.


Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is developing and testing an AI-powered algorithm that uses sounds recorded by an electronic stethoscope to detect pulmonary hypertension (high blood pressure in the arteries that supply the lungs), which is often diagnosed late because early symptoms can be subtle. **You may be eligible if...** - You are over 18 years old - You have been referred for a complete echocardiogram (heart ultrasound) or a right heart catheterisation (a procedure to measure pressures in the heart and lungs) at the study centre **You may NOT be eligible if...** - You are only having a limited (not complete) echocardiogram - You are on a ventilator (intubated) Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEUse of Eko DUO stethoscope (paired ECG/PCG)

Auscultation of heart sounds using electronic stethoscope


Locations(3)

Rhode Island Hospital

Providence, Rhode Island, United States

The Miriam Hospital

Providence, Rhode Island, United States

Providence VA Medical Center

Providence, Rhode Island, United States

View Full Details on ClinicalTrials.gov

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NCT05873387


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