Parallel Cardiac Electrophysiology Modeling Framework
Authors: Jacob Pollack (University of Tennessee, Knoxville), Xiaopeng Zhao (University of Tennessee, Knoxville), Kwai Wong (University of Tennessee, Knoxville)
Abstract: Cardiovascular diseases are the leading cause of death worldwide. Using computer simulations to accurately model the dynamics of the heart provides a platform for developing methods to better detect and treat heart disease. We present a heart electrophysiology modeling framework designed to run on HPC platforms. The model is capable of simulating the generation and propagation of electrical signals throughout the heart under a variety of circumstances.
The action potential of each simulated cell can be described using a variety of different models. However, prior implementations of the cardiac modeling framework only supported the use of the Beeler-Reuter model. Our work refactoring the cardiac model allows the model to be extended to a multitude of electrical models, including the O’Hara-Rudy model. This expansion of functionality dramatically increases the simulation’s usefulness, as many applications require the use of novel or complex electrical models.
Two-page extended abstract: pdf