Centre for Mathematical Medicine & Biology, School of Mathematical Sciences, University of Nottingham, Nottingham, UK.
Computational Biology & Health Informatics, Department of Computer Science, University of Oxford, Oxford, UK.
Wiley Interdiscip Rev Syst Biol Med. 2020 Jul;12(4):e1482. doi: 10.1002/wsbm.1482. Epub 2020 Feb 21.
Cardiac electrophysiology models are among the most mature and well-studied mathematical models of biological systems. This maturity is bringing new challenges as models are being used increasingly to make quantitative rather than qualitative predictions. As such, calibrating the parameters within ion current and action potential (AP) models to experimental data sets is a crucial step in constructing a predictive model. This review highlights some of the fundamental concepts in cardiac model calibration and is intended to be readily understood by computational and mathematical modelers working in other fields of biology. We discuss the classic and latest approaches to calibration in the electrophysiology field, at both the ion channel and cellular AP scales. We end with a discussion of the many challenges that work to date has raised and the need for reproducible descriptions of the calibration process to enable models to be recalibrated to new data sets and built upon for new studies. This article is categorized under: Analytical and Computational Methods > Computational Methods Physiology > Mammalian Physiology in Health and Disease Models of Systems Properties and Processes > Cellular Models.
心脏电生理学模型是生物系统中最成熟和研究最充分的数学模型之一。随着模型越来越多地被用于进行定量而不是定性预测，这种成熟性带来了新的挑战。因此，将离子电流和动作电位 (AP) 模型中的参数校准到实验数据集是构建预测模型的关键步骤。本综述强调了心脏模型校准中的一些基本概念，旨在为在生物学其他领域工作的计算和数学建模人员所理解。我们讨论了经典和最新的电生理学领域中的校准方法，包括离子通道和细胞 AP 两个层面。最后，我们讨论了迄今为止工作中提出的许多挑战，以及对可重复描述校准过程的需求，以便能够将模型重新校准到新的数据集，并为新的研究提供基础。本文属于以下分类：分析和计算方法 > 计算方法 生理学 > 健康和疾病中的哺乳动物生理学 系统属性和过程的模型 > 细胞模型。
