Does wearable photoplethysmography-derived spatiotemporal modeling quantify dynamic atrial fibrillation progression in patients with paroxysmal AF?
Continuous PPG-based spatiotemporal modeling using a wearable device can robustly quantify dynamic AF progression and enable precise phenotyping.
Background: Traditional atrial fibrillation (AF) classification lacks dynamic quantification. Current AF burden assessment is constrained by intermittent monitoring and simplistic metrics. Objective: This study aimed to establish a continuous, multidimensional AF progression model using wearable photoplethysmography (PPG) for real-world, dynamic burden quantification. Methods: In this prospective cohort, 110 patients with paroxysmal AF underwent synchronized PPG (Huawei Watch GT3) and 24-hour Holter monitoring. We developed a multiscale fusion AF algorithm and a 5-dimensional spatiotemporal progression model quantifying episode frequency, duration, clustering, circadian rhythm, and tachycardia burden. Results: < .001). Conclusion: Continuous PPG-based spatiotemporal modeling robustly quantified dynamic AF progression, enabled precise phenotyping, and may support early intervention in high-risk patients.
Guo et al. (Thu,) studied this question.