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Patients that have suffered a myocardial infarction are at lifetime high risk for sudden cardiac death (SCD). Personalized 3D computational modeling and simulation can help to find non-invasively arrhythmogenic features of patients’ infarcts, and to provide additional information for stratification and planning of radiofrequency ablation (RFA). Currently, multiscale biophysical models require high computational resources and long simulations times, which make them impractical for clinical environments. In this paper, we develop a phenomenological solver based on cellular automata to simulate cardiac electrophysiology, with results comparable to those of biophysical models. The solver can run simulations in the order of seconds and reproduce rotor dynamics, and ventricular tachycardia in infarcted patients, using a virtual pacing protocol. This model could be use to plan RFA intervention without the time constrains of complex models.

Original publication




Conference paper

Publication Date



12738 LNCS


531 - 539