L. Dioşan

Development of an efficient deep learning model for arrhythmia detection from consumer smartwatches

Introduction Cardiac arrhythmias often progress without clear symptoms and may remain undetected until severe complications occur. Continuous monitoring through consumer smartwatches offers a scalable and non-invasive opportunity for real-time rhythm screening in free-living conditions. However, wrist-based photoplethy...