Detection of Heart Conditions With Single Lead ECG Using Artificial Intelligence

Completed

Conditions studied: Left Ventricular Dysfunction

In brief

The purpose of this research is to prospectively test and validate the single-lead Low EF algorithm in outpatients in order to test the performance of a single-lead ECG based algorithm to identify people with decreased left ventricular EF.

Key facts

Study ID

NCT04400435

Run by

Eko Devices, Inc.

People needed

1258

Starts

2020-07-15

Expected to finish

2022-04-29

Last updated by the study team

2022-12-09

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• English-speaking adults who are 18 years and older
• Able and willing to provide informed consent
• Complete a clinical echocardiogram within 7 days before or after study procedures

You may not qualify if…

• Unwilling or unable to provide informed consent
• Patients who are hospitalized

Where it is running

• Los Alamitos Cardiovascular — Los Alamitos, California, United States
• MedStar Cardiovascular Network — Washington D.C., District of Columbia, United States
• Albert Einstein Medical Center — Philadelphia, Pennsylvania, United States

Full record on ClinicalTrials.gov

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