Photoplethysmography-based algorithm to detect atrial fibrillation in heart failure patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This prospective validation study tests a new machine-learning algorithm that detects atrial fibrillation from photoplethysmography signals collected via a wearable device. The algorithm is designed for integration into the Seerlinq remote monitoring platform and builds on existing PPG signal-processing tech used in the HeartCore device. Validation occurs through internal cross-validation, external validation with paired PPG-ECG data, and evaluation in patients with paroxysmal AF and frequent rhythm changes. The study aims to enroll up to about 1,000 unique PPG recordings, with 12-lead ECG as the reference standard for rhythm classification.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Adults ≥18 years with a diagnosis of heart failure (HFrEF, HFmrEF, or HFpEF)
* 12-lead ECG performed to confirm cardiac rhythm classification (AF vs. non-AF)

Exclusion Criteria:

* Missing a valid PPG recording

Where it's running

• Premedix
  Bratislava, Slovakia Recruiting

Study contacts

• Study coordinator: Marta Kollárová, MSc., PhD.
• Email: marta.kollarova@premedix.org
• Phone: +421 950 896 026

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.