- To develop computational models of the atria (with substrate modifications like fibrosis, slow conduction, lines of block) of patients suffering from AF including lines of ablation from a first (unsuccessful) ablation procedure.
- To compare in-silico arrhythmic depolarization patterns with the patterns observed in electrophysiological investigations during ablation procedures (EP-lab) on the patients using multi-electrode catheters and to develop an FEM forward calculation framework to adapt the model of the atria iteratively to fit to the measured signals.
- To compare various methods to determine AF vulnerability of atrial computer models (e.g. induce AF with a rapid pacing protocol or with a large number of S1-S2 stimuli) and to find the most robust and reliable.
- To implement a tool that enables the cardiologist to create ablation points and lines in the personalized atrial model and test AF vulnerability afterwards. The ablation pattern that is able to prevent the onset and continuation of AF will be determined.
- A method for personalization of the atrial model, by iterative comparison the patterns of depolarization of a specific patient (measured in the EP-lab) with the patterns of the computational model.
- A method to test AF vulnerability of an atrial model.
- A first estimate of the inter-individual variability of patients related to the ablation outcome.
- A tool helping the cardiologist to predict the ablation outcome.
Integrated and personalized computational model of atria with AF for an efficient ablation therapy