Key result
Parameterization of biophysically based mathematical models of cardiac electro-mechanics can be separated into three stages: observation, fitting, and validation.
Highlights the importance of rigorous parameterization in computational modeling of cardiac electro-mechanics, proposing a three-stage framework of observation, fitting, and validation.
May advance computational cardiac model reliability; leaves open empirical validation across studies.
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.
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Niederer et al. (2012) conducted a review in cardiac electro-mechanics. computational modelling was evaluated. Parameterization of biophysically based mathematical models of cardiac electro-mechanics can be separated into three stages: observation, fitting, and validation.
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