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NCT06552468: EASE-AF

A Study on the Effectiveness of the Application of an Artificial Intelligence Algorithm for Calibrating PPG With ECG to Improve the Accuracy of Atrial Fibrillation Burden Estimation

Completed Last updated 31 December 2024
What this trial tests

trial testing AF monitoring by a smartwatch with PPG in Atrial Fibrillation in 1,054 participants. Completed in 27 November 2024.

Timeline
14 January 2024
Primary endpoint
27 June 2024
27 November 2024

Quick facts

Lead sponsorBeijing Anzhen Hospital
StatusCompleted
Study typeOBSERVATIONAL
Enrollment1,054
Start date14 January 2024
Primary completion27 June 2024
Estimated completion27 November 2024
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Beijing Anzhen Hospital

Who can join

18 and older, any sex, with Atrial Fibrillation. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Use the ECG watch to collect W-PPG and W-ECG data. Through artificial intelligence algorithms, compare the W-PPG data collected by the ECG watch and the W-PPG data calibrated by the W-ECG data of the ECG watch with the P-ECG data manually annotated after being collected by the ECG recorder. Then evaluate the effectiveness of the calibrated algorithm in improving the accuracy of estimating atrial fibrillation burden.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

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Other recruiting trials for Atrial Fibrillation

Currently open trials in the same condition.

Other Beijing Anzhen Hospital trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06552468.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing