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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

NCT06552468 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1054

Last updated 2024-12-31

No results posted yet for this study

Summary

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.

Conditions

Interventions

DEVICE

AF monitoring by a smartwatch with PPG

The device we used for intervention is a smartwatch (JKwear 1, Chengdu CVhealth Science and Technology Co., Ltd, CN) for collecting watch-recorded-PPG (W-PPG).

Sponsors & Collaborators

  • Beijing Anzhen Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-14
Primary Completion
2024-06-27
Completion
2024-11-27

Countries

  • China

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 NCT06552468 on ClinicalTrials.gov