A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling

Article ID	Journal	Published Year	Pages	File Type
10330580	Future Generation Computer Systems	2013	8 Pages	PDF

Abstract

âº New local sensitivity approach for determining parameter identifiability is presented. âº Non-significant and redundant parameters in ionic cardiac models of human and rabbit ventricular myocytes are identified. âº Application of the newly developed method to cardiac models' development and removal of the issue of overparameterisation is demonstrated.

Keywords

Local sensitivity analysis Singular value decomposition method Parameter identifiability Cardiac modelling Ionic channels

Related Topics

Physical Sciences and Engineering Computer Science Computational Theory and Mathematics

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A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling

Authors

Anna A. Sher, Ken Wang, Andrew Wathen, Philip John Maybank, Gary R. Mirams, David Abramson, Denis Noble, David J. Gavaghan,