The openCARP simulation environment for cardiac electrophysiology.

Comput Methods Programs Biomed

IHU Liryc, Electrophysiology and Heart Modeling Institute, Fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France; Université Bordeaux, IMB, UMR 5251, F-33400 Talence, France.

Published: September 2021

AI Article Synopsis

  • Cardiac electrophysiology relies on computational modeling, but a standard simulation software is lacking; openCARP is introduced as a potential solution to support the community's needs.* -
  • openCARP, along with the Python-based carputils framework, enables automation of simulation processes, enhancing reproducibility and productivity for users, aided by comprehensive documentation and training materials.* -
  • The paper demonstrates openCARP's capabilities through a multi-scale approach to atrial fibrillation simulations and highlights its role in improving accessibility, transparency, and standardization in cardiac electrophysiology research.*

Article Abstract

Background And Objective: Cardiac electrophysiology is a medical specialty with a long and rich tradition of computational modeling. Nevertheless, no community standard for cardiac electrophysiology simulation software has evolved yet. Here, we present the openCARP simulation environment as one solution that could foster the needs of large parts of this community.

Methods And Results: openCARP and the Python-based carputils framework allow developing and sharing simulation pipelines which automate in silico experiments including all modeling and simulation steps to increase reproducibility and productivity. The continuously expanding openCARP user community is supported by tailored infrastructure. Documentation and training material facilitate access to this complementary research tool for new users. After a brief historic review, this paper summarizes requirements for a high-usability electrophysiology simulator and describes how openCARP fulfills them. We introduce the openCARP modeling workflow in a multi-scale example of atrial fibrillation simulations on single cell, tissue, organ and body level and finally outline future development potential.

Conclusion: As an open simulator, openCARP can advance the computational cardiac electrophysiology field by making state-of-the-art simulations accessible. In combination with the carputils framework, it offers a tailored software solution for the scientific community and contributes towards increasing use, transparency, standardization and reproducibility of in silico experiments.

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Source
http://dx.doi.org/10.1016/j.cmpb.2021.106223DOI Listing

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