An Examination of Statistical Impact Acceleration Injury Prediction Models Based on Torque and Force Variables
DESMATICS INC STATE COLLEGE PA
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This technical report describes the construction of impact acceleration injury prediction models from a set of twenty-eight -G sub x accelerator runs involving Rhesus monkeys with securely restrained torso and unrestrained head. Peak torque and force variables measured during these runs were used to predict injury likelihood. The relative contribution of these variables was examined with respect to the original and a modified version of the data set. Two possible prediction models were used to construct two critical envelopes, i.e., those values of the variables for which the predicted probability of injury or fatality is less than or equal to some specified probability. The preferred model was identified and discussed.
- Stress Physiology
- Statistics and Probability