Research on the Development of a Statistical Impact Acceleration Injury Prediction Model from -G(x) Accelerator Runs.

Abstract

Statistical impact acceleration injury prediction models are developed for the head/neck segment from data obtained during 68 -G sub x accelerator runs. These runs involved subhuman primates (Rhesus monkeys) with securely restrained torso and unrestrained head. The data was collected by the Naval Biodynamics Laboratory (NBDL) as part of its research effort on acceleration impact injury prevention. Three classes of prediction models are constructed, one based on sled profile variables, another based on head dynamic response variables only, and the third comprised of the combined set of independent variables. The model predictions are compared with the observed results to evaluate performance. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1982
Accession Number
ADA116440

Entities

People

  • David Aarons
  • Dennis E. Smith

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Angular Acceleration
  • Classification
  • Computer Programs
  • Data Sets
  • Databases
  • Dynamic Response
  • Fatalities
  • Impact Acceleration
  • Information Science
  • Injury Prevention
  • Monkeys
  • New York
  • Probability
  • Regression Analysis
  • Statistical Analysis
  • Statistics
  • United States

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Explosive Engineering.
  • Regression Analysis.