Stark Nicole E-P, Begonia Mark T, Rowson Steve
Department of Biomedical Engineering and Mechanics, Virginia Tech, 325 Stanger St., Kelly Hall 120, Blacksburg, VA, 24061, USA.
Institute for Critical Technology and Applied Science, Virginia Tech, Blacksburg, VA, USA.
Ann Biomed Eng. 2025 Apr 17. doi: 10.1007/s10439-025-03731-0.
This study evaluated head impact response between different helmet impact test systems by comparing the performance of ten polo helmets.
Helmets were evaluated using three test systems: a twin-wire guided drop tower, an oblique drop tower, and an impact pendulum. Impact tests were conducted at matched locations (front boss, side, rear boss) and speeds (3.46, 5.46 m/s). We employed a linear mixed model with helmet model as a random effect and calculated the least square mean differences between systems for peak linear acceleration (PLA), peak rotational acceleration (PRA), peak rotational velocity (PRV), and concussion risk. Correlations between systems by impact speed were explored, using linear models of each system as a function of the others, and calculated Spearman rank correlation coefficients between test systems for each dependent variable.
Our results found distinct differences in PRA and concussion risk between the oblique and the pendulum impact systems due to the driving force. The acceleration range across helmet models was substantial, and responses differed between test systems at matched impact conditions. However, there were similarities between test systems in the rank order of helmet models. Head acceleration differences between helmets translated to larger differences in concussion risk between helmet models.
These trends provide a framework for comparing the headform's response across varying loading conditions. When selecting a test system to evaluate helmets for a specific sport, it is essential to consider the relevant impact conditions and loading patterns to ensure that laboratory tests accurately represent real-world scenarios.
本研究通过比较十顶马球头盔的性能,评估了不同头盔冲击测试系统之间的头部冲击响应。
使用三种测试系统对头盔进行评估:双钢丝引导式落塔、斜向落塔和冲击摆。在匹配的位置(前凸台、侧面、后凸台)和速度(3.46、5.46米/秒)下进行冲击测试。我们采用以头盔型号为随机效应的线性混合模型,并计算了系统之间在峰值线性加速度(PLA)、峰值旋转加速度(PRA)、峰值旋转速度(PRV)和脑震荡风险方面的最小二乘均值差异。利用每个系统作为其他系统函数的线性模型,探索了不同冲击速度下系统之间的相关性,并计算了每个因变量测试系统之间的斯皮尔曼等级相关系数。
我们的结果发现,由于驱动力的原因,斜向冲击系统和摆式冲击系统在PRA和脑震荡风险方面存在明显差异。头盔型号之间的加速度范围很大,并且在匹配的冲击条件下,测试系统之间的响应也有所不同。然而,在头盔型号的排名顺序上,测试系统之间存在相似之处。头盔之间的头部加速度差异转化为头盔型号之间脑震荡风险的更大差异。
这些趋势为比较不同加载条件下头型的响应提供了一个框架。在选择用于评估特定运动头盔的测试系统时,必须考虑相关的冲击条件和加载模式,以确保实验室测试能够准确代表实际场景。