Testing a pulse-sensor algorithm to detect atrial fibrillation in remotely monitored patients
Checks a pulse-signal algorithm for spotting atrial fibrillation in adults, including heart failure patients.
Plain-language title generated from the registry record
Registry title: A Photoplethysmography-Based Machine Learning Algorithm for Early Atrial Fibrillation Detection: A Prospective Validation Study
Key facts
- Where
- Bratislava, SlovakiaSee the site
Where in Slovakia
- PremedixBratislava, SlovakiaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Seerlinq s. r. o.
- Trial code
- NCT07749183
- Record updated
- 6 August 2026
- Original description
This is a prospective study validating a new machine-learning algorithm that detects atrial fibrillation (AF) from photoplethysmography (PPG) signals, developed for integration into the Seerlinq remote monitoring platform. This algorithm builds on the same core PPG signal-processing technology as Seerlinq's HeartCore device, a CE-certified (Class IIb, MDR) device that monitors left ventricular filling pressures in heart failure patients. The algorithm will be validated through internal cross-validation, external validation against an independent cohort with paired PPG-ECG recordings, and validation in a cohort of patients with paroxysmal atrial fibrillation and frequent sinus-AF transitions.Read full original descriptionShow less
Prospective Validation of a Machine-Learning Algorithm Using Photoplethysmography Signals for Early Detection of Atrial Fibrillation During Remote Telemonitoring
This is a prospective study validating a new machine-learning algorithm that detects atrial fibrillation (AF) from photoplethysmography (PPG) signals, developed for integration into the Seerlinq remote monitoring platform. This algorithm builds on the same core PPG signal-processing technology as Seerlinq's HeartCore device, a CE-certified (Class IIb, MDR) device that monitors left ventricular filling pressures in heart failure patients. The algorithm will be validated through internal cross-validation, external validation against an independent cohort with paired PPG-ECG recordings, and validation in a cohort of patients with paroxysmal atrial fibrillation and frequent sinus-AF transitions.
Inclusion: 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: Missing a valid PPG recording.