This paper contains a review of methods for deriving risk curves from biomechanical data obtained from impact experiments on human surrogates. It covers many of the problems and pitfalls of obtaining realistic human risk curves from impact experiments. The strength and weakness of both parametric and non-parametric methods are evaluated. The limitations of standard analysis of censored impact test data are presented.The complexity of a biological system and the presence of multiple different injury modes and mechanisms make possible the presence of discontinuities/ drastic slope changes in the risk function. In addition, biomechanical impact data is almost always censored and there is no basis that suggests an underlying distribution: all these characteristics should encourage the use of non-parametric models specific for censored data. 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 femur, head, thorax, and neck.
Comparison of parametric and non-parametric methods for determining injury risk
Vergleich von parametrischen und nicht-parametrischen Methoden zur Abschätzung von Verletzungsrisiken
2003
10 Seiten, 11 Bilder, 2 Tabellen, 21 Quellen
Conference paper
English
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