Estimation of injury risk for biomechanical impact data

Di Domenico, L.; Nusholtz, G.

The aim of this study was to compare parametric and non-parametric methods for determining injury risk curves from biomechanical data obtained from impact experiments on human surrogates. Many of the problems and pitfalls of obtaining realistic human risk curves from impact test data are covered. Methods are given for determining risk curves from both doubly censored data and data obtained from impacts to body regions in which there are more than one mechanism of injury. A detailed set of examples is presented in which different experimental data are analyzed using the Consistent Threshold method and the logistic approach. Finally risk curves for published data are presented for the head, neck, femur, and thorax.

Year

Entry

1999

Eppinger R, Sun E, Bandak F, Haffner M, Khaewpong N, Maltese M, Kuppa S, Nguyen T, Takhounts E, Tannous R, Zhang A, Saul R. Development of Improved Injury Criteria for the Assessment of Advanced Automotive Restraint Systems - II. Washington, DC: National Highway Traffic Safety Administration (NHTSA); November 1999.

1958

Kaplan EL, Meier P. Nonparametric-estimation from incomplete observations. J Am Stat Assoc. 1958;53(282):457-481.

1999

Nusholtz G, Mosier R. Consistent threshold estimate for doubly censored biomechanical data. In: Proceedings of the SAE International Congress & Exposition. March 1-4, 1999; Detroit, MI. Warrendale, PA: Society of Automotive Engineers. SAE 1999-01-0714.

2001

Kent R, Bolton J, Crandall J, Prasad P, Nusholtz G, Mertz H, Kallieris D. Restrained Hybrid III dummy-based criteria for thoracic hard-tissue injury prediction. In: Proceedings of the 2001 International IRCOBI Conference on the Biomechanics of Impact. October 10-12, 2001; Isle of Man, UK.

1984

Prasad P, Daniel RP. A biomechanical analysis of head, neck, and torso injuries to child surrogates due to sudden torso acceleration. In: Proceedings of the 28th Stapp Car Crash Conference. November 6-7, 1984; Chicago, IL. Warrendale, PA: Society of Automotive Engineers:25-40. SAE 841656.