Model for Trauma Patient Simulation and Fluid Resuscitation

摘要

SwRI performed mathematical modeling and simulation research aimed at developinga trauma patient simulator (TPSIM) for the Life Support Trauma and Transport (LSTAT) Army evacuation platform. The purpose of this research was to develop methods for predicting changes in hemodynamic parameters during and after blood loss. Prediction of hemodynamic parameters based on blood volume changes was the first step in the development of an automated fluid resuscitation system. The research focused on the refinement of a passive system model of cardiovascular hemodynamics and fluid exchange and the design and development of an ancillary model to simulate neural and hormonal control during hemorrhagic shock. Both neural network and fuzzy logic approaches were studied to model neural and hormal control. This combination of passive and control system models was referred to as the TPSIM. The TPSIM was developed with animal hemorrhagic shock data found in the literature.