Model for Trauma Patient Simulation and Fluid Resuscitation.

Abstract

SwRI performed mathematical modeling and simulation research aimed at developing a 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.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1996
Accession Number
ADA319693

Entities

People

  • Brian L. Robey

Organizations

  • Southwest Research Institute

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Arteries
  • Blood
  • Blood Volume
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Chemistry
  • Computer Programming
  • Computers
  • Control Systems
  • Health Services
  • Hemorrhagic Shock
  • Medical Personnel
  • Neural Networks
  • Physiological Monitoring

Fields of Study

  • Medicine

Readers

  • Cardiovascular Physiology
  • Computational Modeling and Simulation
  • Trauma Surgery or Emergency Medicine.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks