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Prospective Validation Study of AI-based Prediction Algorithm for the Prediction of Paroxysmal Atrial Fibrillation

NCT05725187 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2024-09-26

No results posted yet for this study

Summary

The purpose of this study is to predict the occurrence of paroxysmal atrial fibrillation by finding high-risk group from normal sinus rhythm ECG through artificial intelligence-based prediction algorithm.

Conditions

  • Atrial Fibrillation Paroxysmal

Interventions

DEVICE

MobiCare

It is a 9.2g wearable electrocardiogram device, mobiCARE, in the form of a patch, and the model name is MC200M.

Sponsors & Collaborators

  • Ewha Womans University Seoul Hospital

    collaborator OTHER

  • Ewha Womans University Mokdong Hospital

    lead OTHER

Principal Investigators

  • Sumi Jung · Ewha Womans University Mokdong Hospital

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-10-14
Primary Completion
2024-12-31
Completion
2025-12-31

Countries

  • South Korea

Study Locations

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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 NCT05725187 on ClinicalTrials.gov