Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals

arXiv:2402.09474v1 Announce Type: cross
Abstract: Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in combination with artificial intelligence (AI) approaches for automated heart disease detection. There have been prior studies applying AI approaches based on deep learning for heart disease detection. However, these models are yet to be widely accepted as a reliable aid for clinical diagnostics, in part due to the current black-box perception surrounding …

abstract artificial artificial intelligence arxiv automated combination cs.ai cs.cv cs.lg detection devices disease eess.sp enabling heart disease intelligence monitoring patient prior studies transformer type vision wearable