Sarah E. Geneser and Robert M. Kirby and Frank B. Sachse.
Sensitivity Analysis of Cardiac Electrophysiological Models Using Polynomial Chaos.
In 27th Annual International Conference of theEngineering in Medicine and Biology Society, 2005. (IEEE-EMBS 2005), pp. 4042--4045, 2005.

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Abstract:

Mathematical models of biophysical phenomena have proven useful in the reconstruction of experimental data and prediction of biological behavior. By quantifying the sensitivity of a model to certain parameters, one can place an appropriate amount of emphasis in the accuracy with which those parameters are determined. In addition, investigation of stochastic parameters can lead to a greater understanding of the behavior the model is capable of capturing. This can lead to possible reductions in the model, or point out shortcomings to be addressed. We present polynomial chaos as a computa- tionally efficient alternative to Monte Carlo for assessing the impact of stochastically distributed parameters on the model predictions of several cardiac electrophysiological models.

Bibtex:

@InProceedings{  geneser:2005:SACE,
  author = 	 {Sarah E. Geneser and Robert M. Kirby and Frank
                  B. Sachse},
  title = 	 {Sensitivity Analysis of Cardiac Electrophysiological
                  Models Using Polynomial Chaos},
  booktitle =    {27th Annual International Conference of
                  theEngineering in Medicine and Biology Society,
                  2005. (IEEE-EMBS 2005)},
  year = 	 {2005},
  month =        {January},
  pages =        {4042--4045},
}

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References:

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