6533b86efe1ef96bd12cbc7b
RESEARCH PRODUCT
Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients
Miguel RodrigoAlfonso Bueno-orovioAlejandro LiberosPau RomeroDolors SerraIgnacio García-fernándezMiguel LozanoAntonio BerruezoRafael Sebastiansubject
medicine.medical_specialtyRadiofrequency ablationCardiac electrophysiologyComputer scienceSolvermedicine.diseaseVentricular tachycardiaCellular automatonlaw.inventionSudden cardiac deathModeling and simulationlawInternal medicinecardiovascular systemmedicineCardiologyMyocardial infarctiondescription
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.
year | journal | country | edition | language |
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2021-01-01 |