By Topic

Computational multiscale modeling in the IUPS Physiome Project: Modeling cardiac electromechanics

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
D. Nickerson ; Bioengineering Institute, The University of Auckland, New Zealand ; M. Nash ; P. Nielsen ; N. Smith
more authors

We present a computational modeling and numerical simulation framework that enables the integration of multiple physics and spatiotemporal scales in models of physiological systems. This framework is the foundation of the IUPS (International Union of Physiological Sciences) Physiome Project. One novel aspect is the use of CellML, an annotated mathematical representation language, to specify model- and simulation-specific equations. Models of cardiac electromechanics at the cellular, tissue, and organ spatial scales are outlined to illustrate the development and implementation of the framework. We quantify the computational demands of performing simulations using such models and compare models of differing biophysical detail. Applications to other physiological systems are also discussed.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:50 ,  Issue: 6 )