A CARDIOVASCULAR DYNAMIC RESPONSE INDEX

Abstract

Human tolerances to accelerating forces long have been recognized as being dependent on the magnitude, direction, and duration of a given G. Experimentally derived tolerance curves for positive G have been reported by Stoll and Kydd. The former provides the time (time at peak pulse rise time) at which a given end-point (PLL) will occur for various sustained G levels while the latter provides the period of haversine shaped G profile which will produce the same end-point for various peak G's. Aerodynamically derived G profiles take on a wide variety of shapes and forms. Using a lumped parameter description for both the arterial and venous portions of the cardiovascular system, a simplified mathematical model has been derived which includes a feedback loop for changes in cardiac output and peripheral vascular resistance to represent the non-linear effects of cardiovascular reflexes. The model, which describes the transient and steady state response of the system to any shaped G profile, has been programmed on an analog computer. By identifying a particular response of the system to correspond with a given endpoint (PLL), a cardiovascular dynamic response index (CDRI) HAS BEEN DEFINED5 By using the CDRI, the model provides agreement with both the Stoll and Kydd tolerance curves.

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Document Details

Document Type
Technical Report
Publication Date
Jun 26, 1970
Accession Number
AD0708383

Entities

People

  • Carl T. Reichwein
  • Emma Fessenden
  • Richard J. Crosbie

Organizations

  • Naval Air Warfare Center Warminster

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Agreements
  • Analog Computers
  • Arteries
  • Biomedical Research
  • Blood
  • Blood Flow
  • Cardiovascular System
  • Computer Simulations
  • Computers
  • Dynamic Response
  • Experimental Data
  • Feedback
  • Mathematical Models
  • Models
  • Resistance
  • Steady State

Fields of Study

  • Biology

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Trauma Surgery or Emergency Medicine.