Recent Improvements to Hemorrhage Modeling in Full-Body Physiology Simulation

Abstract

Introduction: A recent investigation by Barnes et al compared different computational physiology engines for medical simulation to evaluate the accuracy of hemorrhage model results. However, these results did not include the Pulse Physiology Engine with its latest advancements in hemorrhage modeling. Methods: We compare Pulse to the three previously analyzed physiology engines and validation data found in literature for an objective evaluation of the simulation technologies. Results: Of the software tested, Pulse and Muse provided the most accurate physiological responses in both magnitude and time response for the objective measures found in literature. These results augment the analysis completed in previous work. Discussion: This analysis provides an objective evaluation of the Pulse Physiology Engine and compares it to results from BioGears, HumMod, and Muse. We also completed additional validation against data found in literature. Our analysis reveals that the latest open source hemorrhage model in Pulse favorably compares to the results produced by the other physiology engines and meets validation better than both HumMod and BioGears.

Keywords: computational modeling, simulation, computational physiology, lumped parameter, open source