Uncertainty and sensitivity analysis of the Courtemanche-Ramirez-Nattel human atrial cell model using Gaussian Process emulators

Models of cardiac cellular electrophysiology are highly detailed with many input parameters. However, the effect of input parameters on model outputs is often not well characterised. Uncertainty and sensitivity analysis using Monte Carlo techniques require large numbers of model runs. In this study we investigated Gaussian Process (GP) emulators, which provide a computationally cheap way to assess uncertainty and sensitivity analysis.