Your browser doesn't support javascript.
loading
Using CellML with OpenCMISS to Simulate Multi-Scale Physiology.
Nickerson, David P; Ladd, David; Hussan, Jagir R; Safaei, Soroush; Suresh, Vinod; Hunter, Peter J; Bradley, Christopher P.
Afiliação
  • Nickerson DP; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
  • Ladd D; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
  • Hussan JR; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
  • Safaei S; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
  • Suresh V; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand ; Department of Engineering Science, University of Auckland , Auckland , New Zealand.
  • Hunter PJ; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
  • Bradley CP; Auckland Bioengineering Institute, University of Auckland , Auckland , New Zealand.
Article em En | MEDLINE | ID: mdl-25601911
OpenCMISS is an open-source modeling environment aimed, in particular, at the solution of bioengineering problems. OpenCMISS consists of two main parts: a computational library (OpenCMISS-Iron) and a field manipulation and visualization library (OpenCMISS-Zinc). OpenCMISS is designed for the solution of coupled multi-scale, multi-physics problems in a general-purpose parallel environment. CellML is an XML format designed to encode biophysically based systems of ordinary differential equations and both linear and non-linear algebraic equations. A primary design goal of CellML is to allow mathematical models to be encoded in a modular and reusable format to aid reproducibility and interoperability of modeling studies. In OpenCMISS, we make use of CellML models to enable users to configure various aspects of their multi-scale physiological models. This avoids the need for users to be familiar with the OpenCMISS internal code in order to perform customized computational experiments. Examples of this are: cellular electrophysiology models embedded in tissue electrical propagation models; material constitutive relationships for mechanical growth and deformation simulations; time-varying boundary conditions for various problem domains; and fluid constitutive relationships and lumped-parameter models. In this paper, we provide implementation details describing how CellML models are integrated into multi-scale physiological models in OpenCMISS. The external interface OpenCMISS presents to users is also described, including specific examples exemplifying the extensibility and usability these tools provide the physiological modeling and simulation community. We conclude with some thoughts on future extension of OpenCMISS to make use of other community developed information standards, such as FieldML, SED-ML, and BioSignalML. Plans for the integration of accelerator code (graphical processing unit and field programmable gate array) generated from CellML models is also discussed.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article