The spatiotemporal dynamics of excitable media may exhibit chaotic transients. We investigate thistextlessbrtextgreatertransient chaos in the 2D Fenton–Karma model describing the propagation of electrical excitationtextlessbrtextgreaterwaves in cardiac tissue and compute the average duration of chaotic transients in dependence ontextlessbrtextgreatermodel parameter values. Furthermore, other characteristics like the dominant frequency, the size oftextlessbrtextgreaterthe excitable gap, pseudo ECGs, the number of phase singularities and parameters characterizingtextlessbrtextgreaterthe action potential duration restitution curve are determined and it is shown that these quantitiestextlessbrtextgreatercan be used to predict the average transient time using polynomial regression.