# A Photoplethysmography-Based Machine Learning Algorithm for Early Atrial Fibrillation Detection: A Prospective Validation Study

> **NCT07749183** · — · RECRUITING · sponsor: **Seerlinq s. r. o.** · enrollment: 200 (estimated)

## Conditions studied

- Atrial Fibrillation (AF)
- Heart Failure

## Interventions

- **OTHER:** PPG-based AF detection algorithm

## Key facts

- **NCT ID:** NCT07749183
- **Lead sponsor:** Seerlinq s. r. o.
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2025-10-01
- **Primary completion:** 2026-08
- **Final completion:** 2026-11
- **Target enrollment:** 200 (ESTIMATED)
- **Last updated:** 2026-08-06

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07749183

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07749183, "A Photoplethysmography-Based Machine Learning Algorithm for Early Atrial Fibrillation Detection: A Prospective Validation Study". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07749183. Licensed CC0.

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