An eikonal model with re-excitability for fast simulations in cardiac electrophysiology.

ABSTRACT: Precision cardiology based on cardiac digital twins relies on accurate yet computationally efficient simulations of cardiac electrophysiology and arrhythmias. Detailed biophysical models, such as the monodomain equation, are computationally demanding and therefore have limited applicability in clinical settings. It is thus desirable to develop reduced models that preserve the main physiological features of arrhythmic propagation while enabling faster computation. The standard eikonal model, an approximation of the monodomain model, effectively predicts the arrival times of the electrical wavefronts, but cannot reproduce the complex re-entrant dynamics characteristic of many cardiac arrhythmias. In this work, we extend the eikonal model to include tissue re-excitability, allowing it to capt

SUBMITTER: Gander L 

PROVIDER: S-EPMC13628559 | biostudies-literature | 2026 Oct

REPOSITORIES: biostudies-literature