Clinical Assessment of a Lightweight CNN Model for Real-Time Atrial Fibrillation Prediction in Continuous Wearable Monitoring.

Atrial Fibrillation (AFib) represents a prevalent cardiac arrhythmia associated with substantial risk for affected individuals. The integration of wearable devices, coupled with advanced predictive models, opens pathways for non-invasive and real-time monitoring of AFib. This paper outlines the assessment of a lightweight CNN model designed to predict AFib in patients, enabling continuous monitoring through the utilization of wearable devices.