Imaging Sciences & Biomedical Engineering Division, King's College London, London, UK.
J Physiol. 2012 Mar 15;590(6):1331-8. doi: 10.1113/jphysiol.2011.225045. Epub 2012 Jan 23.
The link between experimental data and biophysically based mathematical models is key to computational simulation meeting its potential to provide physiological insight. However, despite the importance of this link, scrutiny and analysis of the processes by which models are parameterised from data are currently lacking. While this situation is common to many areas of physiological modelling, to provide a concrete context, we use examples drawn from detailed models of cardiac electro-mechanics. Using this biophysically detailed cohort of models we highlight the specific issues of model parameterization and propose this process can be separated into three stages: observation, fitting and validation. Finally, future research challenges and directions in this area are discussed.
实验数据与基于生物物理的数学模型之间的联系是计算模拟发挥其提供生理学见解潜力的关键。然而，尽管这种联系很重要，但目前缺乏对模型从数据中进行参数化的过程进行审查和分析。尽管这种情况在许多生理学建模领域都很常见，但为了提供具体的背景，我们使用了来自心脏电机械详细模型的示例。使用这个具有生物物理细节的模型队列，我们强调了模型参数化的具体问题，并提出可以将这个过程分为三个阶段：观察、拟合和验证。最后，讨论了该领域未来的研究挑战和方向。
