DocumentCode
3562109
Title
Myokit: A framework for computational cellular electrophysiology
Author
Clerx, Michael ; Volders, Paul G. A. ; Collins, Pieter
Author_Institution
Dept. of Knowledge Eng., Maastricht Univ., Maastricht, Netherlands
fYear
2014
Firstpage
229
Lastpage
232
Abstract
This paper describes Myokit, an open source framework for simulation and analysis of models of cellular cardiac electrophysiology. It is designed to be lightweight, with a focus on model development and model use. The framework consists of a model definition language and a set of tools to manipulate models, run simulations and post-process the results. Single-cell and parallelized multi-cell simulation engines are provided, as well as import and export for various formats and tools for sensitivity analysis. This can provide a valuable addition to the body of software tools available for computational cellular electrophysiology.
Keywords
bioelectric potentials; cardiology; cellular biophysics; medical computing; software tools; Myokit; cellular cardiac electrophysiology analysis; cellular cardiac electrophysiology simulation; computational cellular electrophysiology; parallelized multicell simulation engine; single-cell simulation engine; Analytical models; Computational modeling; Engines; Equations; Mathematical model; Protocols; Syntactics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2014
ISSN
2325-8861
Print_ISBN
978-1-4799-4346-3
Type
conf
Filename
7043021
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