Real-world validation of smartphone-based photoplethysmography for rate and rhythm monitoring in atrial fibrillation.
Henri GruwezDaniel EzzatTim Van PuyveldeSebastiaan DhontEvelyne MeekersLiesbeth BruckersFemke WoutersMichiel KellensHugo Van HerendaelMaximo Rivero-AyerzaDieter NuyensPeter HaemersLaurent PisonPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2024)
Smartphone applications using PPG can be used to monitor patients with AF in unsupervised real-world conditions. The accuracy of AF detection algorithms in this setting is excellent, but PPG-derived heart rate may tend to underestimate higher heart rates.
Keyphrases
- heart rate
- atrial fibrillation
- machine learning
- heart rate variability
- blood pressure
- oral anticoagulants
- catheter ablation
- left atrial
- left atrial appendage
- direct oral anticoagulants
- heart failure
- percutaneous coronary intervention
- deep learning
- loop mediated isothermal amplification
- label free
- real time pcr
- acute coronary syndrome
- coronary artery disease
- mitral valve