Key result
A proposed method based on singular value decomposition demonstrated that small singular values signify a lack of parameter uniqueness in cardiac action potential models.
Why the study?
It was unclear whether maximum conductances in cardiac action potential models can change without appreciable changes in the action potential, potentially undermining parameter uniqueness.
Population
Well-known mathematical models of the cardiac action potential
Design
Numerical simulation and theoretical study
Authors
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Method enables checks on conductance parameterization uniqueness in cardiac models; leaves open reliability for clinical simulations.
A singular value decomposition method can quantify the identifiability of maximum conductances in cardiac action potential models, highlighting potential issues with parameter uniqueness when evaluating drug effects.
Jæger et al. (2019) studied Cardiac action potential modeling. Singular value decomposition method was evaluated on Identifiability of maximum conductances. A proposed method based on singular value decomposition demonstrated that small singular values signify a lack of parameter uniqueness in cardiac action potential models.
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