Wobrock Jesse, Smith Terry, Kasantikul Vira, Whiting William
Head Protection Research Laboratory, Paramount, California, USA.
Annu Proc Assoc Adv Automot Med. 2003;47:1-23.
The purpose of this study was to analyze variables present in selected motorcycle crashes involving helmeted riders to find the best injury predictors. The helmets used in this study were collected from motorcycle crashes in Thailand. Pertinent data were collected, a conventional helmet impact drop test apparatus was used to quantify the head impact forces, and stepwise multiple regression analyses were performed. The results indicate that the geometry of the object impacting the head and GSI were the best predictors for MAIS (R ( 2 ) =.875) while geometry of the object, liner thickness and impact energy were the best predictors for ISS (R ( 2 ) =.911).
本研究的目的是分析涉及佩戴头盔骑手的特定摩托车碰撞事故中的变量,以找出最佳损伤预测指标。本研究中使用的头盔取自泰国的摩托车碰撞事故。收集了相关数据,使用传统的头盔撞击跌落试验装置来量化头部撞击力,并进行了逐步多元回归分析。结果表明,撞击头部物体的几何形状和头部损伤严重度评分(GSI)是简明损伤定级(MAIS)的最佳预测指标(R² = 0.875),而物体几何形状、衬里厚度和撞击能量是损伤严重度评分(ISS)的最佳预测指标(R² = 0.911)。