Empirical Injury Prediction of the Pedestrian Thorax

The development of injury predictive models for pedestrian thoracic impact based on experimental data obtained in a previous study is presented. The data consists of ten cadaveric test subjects including eight side and two frontal impacts. A ten accelerometer array was mounted on the thorax to define thoracic kinematics. Three types of parameters, Q, B, and PSD, are developed to summarize each acceleration signal. A statistical regression is performed to generate empirical models for predicting the injury level (number of rib fractures) from these parameters. Coefficients of determination for these models range from 0.8 to 0.99 with the new PSD parameter showing exciting promise. Success of these parameters in predicting thoracic injury implies a relationship with frequency, particularly in the neighborhood of 60 Hz.