Recurrence quantification analysis for fine-scale characterisation of arrhythmic patterns in cardiac tissue.

ABSTRACT: This paper uses recurrence quantification analysis (RQA) combined with entropy measures and organization indices to characterize arrhythmic patterns and dynamics in computer simulations of cardiac tissue. We performed different simulations of cardiac tissues of sizes comparable to the human heart atrium. In these simulations, we observed four classic arrhythmic patterns: a spiral wave anchored to a highly fibrotic region resulting in sustained re-entry, a meandering spiral wave, fibrillation, and a spiral wave anchored to a scar region that breaks up into wavelets away from the main rotor. A detailed analysis revealed that, within the same simulation, maps of RQA metrics could differentiate regions with regular AP propagation from ones with chaotic activity. In particular, the combination

SUBMITTER: Halfar R 

PROVIDER: S-EPMC10363137 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature