Improving Cardiopulmonary Resuscitation (CPR) outcomes using model based optimization.

Abstract

Cardiopulmonary Resuscitation (CPR) outcomes are far from optimal as practiced today, and prior work has documented that among probable reasons is the fact that the procedure remains to be fully understood. In an attempt to gain a broader understanding of the CPR physiology and the elemental principles underlying the CPR outcomes, this study proposes a novel approach. The analysis is carried out in three major steps. First, an appropriate cardiovascular system model was adopted and simulated using real CPR data as the input. Next, a function was fitted to the input data in order to obtain an input function with controllable parameters. In the last step, the parameters of the obtained input function were optimized with respect to the objective function that was constrained by the simulated cardiopulmonary values of the model. The results of this preliminary analysis illustrate that the developed framework reflects the findings of numerous studies and shows that this innovative approach can have a great impact on the CPR research field.