This work addresses major challenges of heart model personalization. Analysis techniques for
clinical intracardiac electrograms determine wave direction and conduction velocity from single
beats. Electrophysiological measurements are simulated to validate the models. Uncertainties in
tissue conductivities impact on simulated ECGs. A minimal model of cardiac myocytes is adapted
to the atria. This makes personalized cardiac models a promising technique to improve treatment
of atrial arrhythmias.
