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
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;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3