Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study.

ABSTRACT: Atrial fibrillation is the most common rhythm disorder of the heart associated with a rapid and irregular beating of the upper chambers. Activation mapping remains the gold standard to diagnose and interpret atrial fibrillation. However, fibrillatory activation maps are highly sensitive to far-field effects, and often disagree with other optical mapping modalities. Here we show that computational modeling can identify spurious non-local components of atrial fibrillation electrograms and improve activation mapping. We motivate our approach with a cohort of patients with potential drivers of persistent atrial fibrillation. In a computational study using a monodomain Maleckar model, we demonstrate that in organized rhythms, electrograms successfully track local activation, whereas in atrial f

SUBMITTER: Sahli Costabal F 

PROVIDER: S-EPMC5880222 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature