# 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** · — · COMPLETED · sponsor: **Beijing Anzhen Hospital** · enrollment: 1054 (actual)

## Conditions studied

- Atrial Fibrillation

## Interventions

- **DEVICE:** AF monitoring by a smartwatch with PPG

## Key facts

- **NCT ID:** NCT06552468
- **Lead sponsor:** Beijing Anzhen Hospital
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2024-01-14
- **Primary completion:** 2024-06-27
- **Final completion:** 2024-11-27
- **Target enrollment:** 1054 (ACTUAL)
- **Last updated:** 2024-12-31


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06552468

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06552468, "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". Retrieved via AI Analytics 2026-06-24 from https://api.ai-analytics.org/clinical/NCT06552468. Licensed CC0.

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