Multi-scale Cardiac Electrophysiological Simulation: A GPU-based System by Computational Steering

DOI

10.2991/iset-15.2015.40How to use a DOI?

Keywords

Computational steering, Multi-scale cardiac simulation, Cardiac electrophysiology

Abstract

A cardiac electrophysiological simulation tool is essential for the study of the modern virtual heart. However, there is not yet an ideal tool that can satisfy the requirements of rapidity, flexibility and interactivity. In this paper, we propose a simulation system to cope with this problem, which is (i) based on GPU for parallel computing, and very fast; (ii) flexible to embed various cell models and simulate multi-scale cardiac tissue; (iii) interactive and easy to use by computational steering. We designed a particular simulation case to show the convenience of computational steering and another test to compare the speed of our system to the traditional CPU-based method. These results suggest that our simulation system can be an ideal tool for the research of the virtual heart.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shanzhuo Zhang
AU  - Songjun Xie
AU  - Kuanquan Wang
AU  - Yongfeng Yuan
PY  - 2015/03
DA  - 2015/03
TI  - Multi-scale Cardiac Electrophysiological Simulation: A GPU-based System by Computational Steering
BT  - Proceedings of the First International Conference on Information Science and Electronic Technology
PB  - Atlantis Press
SP  - 160
EP  - 163
SN  - 2352-538X
UR  - https://doi.org/10.2991/iset-15.2015.40
DO  - 10.2991/iset-15.2015.40
ID  - Zhang2015/03
ER  -