A novel computational method can rapidly personalize biophysical ionic models from standard catheter measurements to predict spiral wave stability and identify potential ablation targets in atrial fibrillation.
Identifying the atrial tissue that is capable of supporting sustained re-entrant spiral wave activation patterns offers a potential ablation target for atrial arrhythmias. Current strategies for identifying this substrate require the patient to be in atrial fibrillation and require a large specialized catheter or an inverse ECG vest. We propose a novel method to personalize biophysical ionic models from standard multi-electrode catheter measurements and to predict spiral wave stability using computer simulations of a tissue region.
Corrado et al. (Wed,) studied this question.