openCARP:一个开放的可持续的计算机心脏电生理研究框架

Jorge Sánchez, Mark Nothstein, A. Neic, Yung-Lin Huang, A. Prassl, J. Klar, Robert Ulrich, Felix Bach, Philipp Zschumme, M. Selzer, G. Plank, E. Vigmond, G. Seemann, A. Loewe
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引用次数: 7

摘要

openCARP是一个开放的心脏电生理模拟器,发布给社区,通过使最先进的模拟可访问来推进计算心脏病学领域。它旨在通过支持自我驱动学习来实现这一目标。为此,提供了一个在线平台,其中包含教育视频教程、面向用户和开发人员的文档、详细的示例和问答系统。该软件是用c++编写的。我们提供了二进制包、Docker容器和基于cmake的编译工作流,使安装过程变得简单。该软件可以完全从桌面扩展到高性能计算机。openCARP每晚运行测试,以确保基于预定义参考解决方案的模拟器的一致性,保持其所有组件的高质量标准。此外,可持续性是通过自动化的持续集成来实现的,不仅可以生成软件包,还可以为社区平台生成文档和内容。此外,carputils为用户提供了一个环境来创建复杂的、可共享和可复制的多尺度模拟。总之,openCARP是为心脏电生理领域的科学界量身定制的软件解决方案,有助于增加硅实验的使用和可重复性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
openCARP: An Open Sustainable Framework for In-Silico Cardiac Electrophysiology Research
openCARP is an open cardiac electrophysiology simulator, released to the community to advance the computational cardiology field by making state-of-the-art simulations accessible. It aims to achieve this by supporting self-driven learning. To this end, an online platform is available containing educational video tutorials, user and developer-oriented documentation, detailed examples, and a question-and-answer system. The software is written in C++. We provide binary packages, a Docker container, and a CMake-based compilation workflow, making the installation process simple. The software can fully scale from desktop to high-performance computers. openCARP runs nightly tests to ensure the consistency of the simulator based on predefined reference solutions, keeping a high standard of quality for all of its components. Additionally, sustainability is achieved through automated continuous integration to generate not only software packages, but also documentation and content for the community platform. Furthermore, carputils provides an environment for users to create complex, multi-scale simulations that are shareable and reproducible. In conclusion, openCARP is a tailored software solution for the scientific community in the cardiac electrophysiology field and contributes to increasing use and reproducibility of in-silico experiments.
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