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Leveraging AI-ECG Technology for Early Notification and Tracking of AF Development

RECRUITINGN/ASponsored by National Defense Medical Center, Taiwan
Actively Recruiting
PhaseN/A
SponsorNational Defense Medical Center, Taiwan
Started2025-07-01
Est. completion2026-07-01
Eligibility
Age40 Days – 85 Days
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06847932

Summary

Our study aimed to use an AF-predict AI-ECG alert system to help physicians identify patients who need to wear a continuous cardiac rhythm monitor for new diagnoses of atrial fibrillation (AF), atrial flutter (AFL), or atrial arrhythmia with high AF risk, including premature atrial complexes (PAC) ≥ 500/24hr, burst PACs \> 20 beats, non-sustained AF/AFL.

Eligibility

Age: 40 Days – 85 DaysHealthy volunteers accepted
Inclusion Criteria:

* Patients in the inpatient department or the outpatient department
* Patients need to have at least one electrocardiogram within one year

Exclusion Criteria:

* Diagnosis of atrial fibrillation/atrial flutter
* History of atrial fibrillation/atrial flutter catheter ablation
* Patients with cardiac implantable electronic devices
* Any documented electrocardiogram showed atrial fibrillation/atrial flutter and pacing rhythm
* History of received rhythm control medications for atrial arrhythmia, including Class I and Class III antiarrhythmic drugs
* Any reasons indicate for anti-coagulant agents, including vitamin K antagonist and non-vitamin K antagonist oral anticoagulant

Conditions6

Artificial Intelligence (AI)Atrial ArrhythmiasAtrial Fibrillation (AF)ElectrocardiogramHeart DiseasePremature Atrial Complexes

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