AI RESEARCH
Domain-Adaptive Arrhythmia Classification Using a Hybrid Transformer on Wearable Heart Signals
arXiv CS.LG
•
ArXi:2605.08199v1 Announce Type: cross Cardiovascular disease remains the leading cause of death globally, underscoring the need for effective, accessible monitoring solutions, particularly through wearable devices that enable continuous, real-time tracking of heart rhythms in home settings. However, deploying deep learning models trained on clinical electrocardiogram (ECG) datasets to wearable devices remains challenging, as differences in recording equipment, signal quality, and patient populations