• 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