Key result
The conduction velocity simulated based on the bidomain model was overestimated by a maximum of 10% when using the derived eikonal model parametrization.
Parametrization of Eikonal models using bidomain simulations overestimates conduction velocity by up to 10% in the presence of local front curvature.
Overestimation up to 10% cautions against direct bidomain parametrization of Eikonal models; leaves open curvature-adjusted validation in human arrhythmia simulations.
Eikonal models are useful to compute approximate solutions of cardiac excitation propagation in a computationally efficient way. In this work the underlying conduction velocities for different cell types were computed solving the classical bidomain model equations for planar wavefront propagation. It was further investigated how changes in the conductivity tensors within the bidomain model analytically correspond to changes in the conduction velocity. The error in the presence of local front curvature for the derived eikonal model parametrization were analyzed. The conduction velocity simulated based on the bidomain model was overestimated by a maximum of 10%.
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Birgit Stender (2016) studied Cardiac excitation propagation. Eikonal model parametrization vs. Classical bidomain model equations was evaluated on Conduction velocity error in the presence of local front curvature. The conduction velocity simulated based on the bidomain model was overestimated by a maximum of 10% when using the derived eikonal model parametrization.
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