Intra-cardiac Signatures of Atrial Arrhythmias Identified by Machine Learning and Traditional Features

Intracardiac devices separate atrial arrhythmias (AA) from sinus rhythm (SR) using electrogram (EGM) features such as rate, that are imperfect. We hypothesized that machine learning could improve this classification.