SC22 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Research Posters Archive

Modeling Supraventricular Tachycardia Using Dynamic Computer-Generated Left Atrium

Authors: Bryant Wyatt, Avery Campbell, Gavin McIntosh, and Melanie Little (Tarleton State University) and Brandon Wyatt (Johnson & Johnson)

Abstract: Supraventricular Tachycardia (SVT) is when the heart’s upper chambers beat either too quickly or out of rhythm with the heart’s lower chambers. This out-of-step heart beating is a leading cause of strokes, heart attacks, and heart failure. The most successful treatment for SVT is catheter ablation, a process where an electrophysiologist (EP) maps the heart to find areas with abnormal electrical activity. The EP then runs a catheter into the heart to burn the abnormal area, blocking the electrical signals. Much is not known about what triggers SVT and where to place scar tissue for optimal patient outcomes. We have produced a dynamic model of the right atrium accelerated on NVIDIA GPUs. An interface allows researchers to insert ectopic signals into the simulated atria and ablate sections of the atria allowing them to rapidly gain insight into what causes SVTs and how to terminate them.

Best Poster Finalist (BP): no

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