AI-based assessment of heart function using ECG wearable monitors
Official title: AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Using COR ECG Wearable Monitor
Run by Peerbridge Health, Inc · NCT06699056 · Data updated 2026-11-12
This study tests if a new AI tool using a wearable heart monitor can accurately check heart function in people with heart failure compared to traditional heart scans.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2000 (estimated) |
| Sponsor | Peerbridge Health, Inc Industry-sponsored |
| Locations | 8 sites (Orange, California and 7 other locations) |
| Status | Recruiting |
| Started | November 21, 2024 |
| Main results expected | November 15, 2027 |
| Study ends | November 15, 2027 |
| Registry record updated | June 1, 2026 |
| Trial ID | NCT06699056 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include adults aged 18 and older who can wear a Holter monitor and are not receiving mechanical or renal support.
✕Probably not a fit
Patients requiring mechanical respiratory or circulatory support, or those with severe skin reactions to ECG adhesives, may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study evaluates the accuracy of an AI software designed to assess ejection fraction (EF) severity using continuous ECG data from the Peerbridge COR® ECG Wearable Monitor. Participants will wear the device during a 15-minute resting period, and the AI's EF estimates will be compared to results from a standard echocardiogram. The goal is to provide a low-cost, accessible alternative for monitoring heart function, particularly in patients with heart failure. This approach aims to improve the accuracy and convenience of cardiac evaluations in everyday settings.
Why it matters
Potential benefit: If successful, this study could enable more accessible and accurate monitoring of heart function for patients with heart failure.
How similar studies have gone: Previous studies have shown promising results with AI-enabled ECG analysis for estimating ejection fraction, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * Able and eligible to wear a Holter monitor Exclusion Criteria: * Receiving mechanical respiratory or circulatory support, or renal support therapy, at the time of screening or during Visit #1 * Any condition that, in the investigator's opinion, could interfere with compliance with the study protocol or pose a safety risk to the participant * History of poor tolerance or severe skin reactions to ECG adhesive materials
Where it's running
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Orange County Heart Institute
Orange, California, United States Recruiting -
Peerbridge Health
Pasadena, California, United States Recruiting -
Henry Ford Hospital
Detroit, Michigan, United States Recruiting -
Hackensack University Medical Center
Hackensack, New Jersey, United States Recruiting -
Mount Sinai Hospital
New York, New York, United States Recruiting -
Moses H. Cone Memorial Hospital
Greensboro, North Carolina, United States Recruiting
Show 2 more locations
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Texas Cardiac Arrhythmia Research Foundation
Austin, Texas, United States Recruiting -
South Heart Clinic
Weslaco, Texas, United States Recruiting
Study contacts
- Principal investigator: Andrea Natale, MD — Texas Cardiac Arrhythmia Research Foundation
- Study coordinator: Sandeep Gulati, PhD
- Email: s.gulati@peerbridgehealth.com
- Phone: 8182162958
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.