AI Assessment of Heart Function using ECG Monitor

AI-Enabled Direct-from-ECG Ejection Fraction (EF) Severity Assessment Using COR ECG Wearable Monitor

Recruiting Observational Study
Ventricular Ejection Fraction LVF LV Dysfunction Atrial Enlargement Conduction Defect Heart Failure Valvular Heart Disease Ischemic Heart Disease Cardiotoxicity Myocardial Infarction Dilated Cardiomyopathy HFrEF - Heart Failure With Reduced Ejection Fraction HFpEF - Heart Failure With Preserved Ejection Fraction Syncope Remodeling, Cardiac
No Placebo Group Every participant receives an active treatment — no one gets a placebo. Healthy Volunteers Welcome You do not need to have the condition being studied to take part. No Study Drug Researchers observe your health over time — no experimental treatment is given.
Ready to participate?

Review the details below, then apply to join this clinical trial.

At a Glance
Age
18 and older
Sex
Any
Study type
Observational
Participants needed
2,000 (estimated)
Sponsor
Peerbridge Health, Inc · Industry
Who this trial is looking for

This trial is looking for adults who can wear a heart monitor to help assess how well their heart pumps blood. Participants will wear the monitor while resting, and their heart function results will be compared to another test to check the accuracy of the new technology.

Are You a Good Fit for This Trial?

You may be able to join if

  • I am 18 years or older
  • I can wear a Holter monitor

You may not be able to join if

  • I am receiving mechanical or kidney support therapy
  • I have a condition that might make it hard to follow the study rules
  • I have had severe skin reactions to ECG adhesive materials

Summarized in plain language from this trial's official eligibility criteria. The full criteria are further down this page — only the research team can confirm whether you qualify.

Think this trial could be right for you?

Answer three quick questions written from this study's own rules to see if you may qualify. No account needed to find out.

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About This Trial
This prospective, multicenter, cluster-randomized controlled study aims to evaluate the accuracy of an investigational artificial intelligence (AI) Software as a Medical Device (SaMD) designed to compute ejection fraction (EF) severity categories based on the American Society of Echocardiography's (ASE) 4-category scale. The software analyzes continuous ECG waveform data acquired by the FDA-cleare…
Trial Locations
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Eligibility 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 interfe…
Contacts

Sandeep Gulati, PhD

8182162958

s.gulati@peerbridgehealth.com

CONTACT

Chris Darland, MBA

814-572-7138

c.darland@peerbridgehealth.com

CONTACT