A Sensitivity Based Improvement Method of a Cardiovascular Model in Exercise Scenario

Abstract

The sensitivity analysis is usually used to determine the effect of the deviation of a certain parameter on the response of a system in respect to a nominal situation. In addition, based on local or global sensitivity functions parameter selection can be performed (Banks et al., 2010). The present paper extends the sensitivity analysis approach on time-variable parameters (parametric functions) and develops as a case study the transition regime of the cardiovascular system (CVS) in exercise scenario. The proposed extension is used to identify the proper variations of 3 parameter functions determined by the exercise level. The final results show that the performances of the CVS model are improved by following a three step correction method.