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仪器化口腔防护器测量足球撞击中头部运动学和评估脑变形的验证与比较。

Validation and Comparison of Instrumented Mouthguards for Measuring Head Kinematics and Assessing Brain Deformation in Football Impacts.

机构信息

Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.

Department of Electrical Engineering, Princeton University, Princeton, NJ, 08540, USA.

出版信息

Ann Biomed Eng. 2020 Nov;48(11):2580-2598. doi: 10.1007/s10439-020-02629-3. Epub 2020 Sep 28.

Abstract

Because of the rigid coupling between the upper dentition and the skull, instrumented mouthguards have been shown to be a viable way of measuring head impact kinematics for assisting in understanding the underlying biomechanics of concussions. This has led various companies and institutions to further develop instrumented mouthguards. However, their use as a research tool for understanding concussive impacts makes quantification of their accuracy critical, especially given the conflicting results from various recent studies. Here we present a study that uses a pneumatic impactor to deliver impacts characteristic to football to a Hybrid III headform, in order to validate and compare five of the most commonly used instrumented mouthguards. We found that all tested mouthguards gave accurate measurements for the peak angular acceleration, the peak angular velocity, brain injury criteria values (mean average errors < 13, 8, 13%, respectively), and the mouthguards with long enough sampling time windows are suitable for a convolutional neural network-based brain model to calculate the brain strain (mean average errors < 9%). Finally, we found that the accuracy of the measurement varies with the impact locations yet is not sensitive to the impact velocity for the most part.

摘要

由于上齿列和颅骨之间的刚性连接,有仪器化的防护牙套已被证明是一种可行的测量头部冲击运动学的方法,有助于理解脑震荡的潜在生物力学。这导致了各种公司和机构进一步开发仪器化的防护牙套。然而,它们作为研究工具用于理解冲击性撞击,因此量化其准确性至关重要,特别是考虑到最近各种研究的结果相互矛盾。在这里,我们展示了一项使用气动冲击器向 Hybrid III 头部模型施加类似于足球的冲击的研究,以验证和比较五种最常用的仪器化防护牙套。我们发现,所有测试的防护牙套在峰值角加速度、峰值角速度、脑损伤标准值(平均值误差分别小于 13、8、13%)方面都给出了准确的测量值,并且具有足够长采样时间窗口的防护牙套适用于基于卷积神经网络的大脑模型来计算大脑应变(平均值误差小于 9%)。最后,我们发现测量的准确性随冲击位置而变化,但在很大程度上不受冲击速度的影响。

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