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Prevention of Stroke and Sudden Cardiac Death by Recording of 1-Channel Electrocardiograms

NCT04637230 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2022-04-06

No results posted yet for this study

Summary

Single-channel electrocardiograms (lead I of 12-lead surface ECG; 30 seconds) will be collected from subjects/patients at 11 clinical centers in Germany to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms. Heart rhythms of interest are normal sinus rhythm (SR), atrial fibrillation (AF), atrial premature beats (APBs), ventricular premature beats (VPBs), and nonsustained ventricular tachycardia (VT). Per diagnosis, 20,000 ECGs are required, for a total of 100,000 ECGs to be obtained from approximately 10,000 subjects/patients.

Conditions

  • Sinus Rhythm
  • Atrial Fibrillation
  • Atrial Premature Complexes
  • Ventricular Premature Complexes
  • Ventricular Tachycardia, Nonsustained

Interventions

DIAGNOSTIC_TEST

Electrocardiogram analysis by Artificial Intelligence

1-channel electrocardiograms are collected to train an Artificial Intelligence in the automatic diagnosis of regular and irregular heart rhythms

Sponsors & Collaborators

  • A-Rhythmik GmbH

    lead OTHER

Principal Investigators

  • Karl-Heinz Kuck, MD · Universitäres Herzzentrum, Lübeck, Germany

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-10-01
Primary Completion
2022-07-31
Completion
2023-06-30

Countries

  • Germany

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04637230 on ClinicalTrials.gov