In standard analysis of cardiac models, typically one variable – usually the trans-membrane potential – is used in the generation of visualizations. However, all but the most basic models have many state variables at each node, information that is not used when visualizing the output of the model. In this paper, we present a novel approach to visualizing the entire state of a 2D cardiac virtual tissue.
James W. Handley, Ken W. Brodlie, R. H. Clayton