Statistical Impact Acceleration Injury Prediction Models Based on -Gx Accelerator Data and Initial Head Conditions
Abstract
Statistical impact acceleration injury prediction models are developed using data from 23 high-level -G sub X acceleration runs. These runs involve Rhesus monkeys with securely restrained torsos and unrestrained heads. The models are based on peak sled acceleration and initial head conditions. The model predictions are compared with those given in an earlier report based on different data and an estimate of Fisher's information matrix is used to evaluate the relative worth of the two data bases.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1983
- Accession Number
- ADA129353
Entities
People
- Dennis E. Smith
- Kevin C. Burns