Wearable head impact sensors for estimation of brain strain

这项工作的总体目标是调查的可穿戴头盔仪器系统的能力，旨在测量线性和角度的头部运动学和头部冲击的严重程度，准确地预测大脑应变幅度使用目前可用的数字模型的头-脑。这些数值模型及其相关的一套基于应变的脑损伤机械预测最近已被先进的工具，以评估在运动和汽车事故中的脑损伤的风险。在某些情况下，应变指标显示出预测弥漫性脑损伤（包括脑震荡）可能性的出色能力，因此越来越多地被应用于研究包括曲棍球和足球在内的专业运动中的头部损伤机制。对于预测应变的这些模型，它们需要线性和角向头部运动学作为输入。确定运动员头部运动学的当前技术水平是使用固定到运动员的防护头盔的原位（可穿戴）传感器。这些传感器测量运动幅度的能力已被广泛研究。到目前为止，还没有研究评估这些传感器的能力，以提供准确的（相对于实验室方法）预测大脑紧张。

The overarching objective of this work is to investigate the capacity of a wearable helmet instrumentation system, designed to measure linear and angular head kinematics and the severity of head impact, to accurately predict brain strain magnitudes using currently available numerical models of the head-brain. These numerical models and their associated suite of strain-based mechanical predictors of brain injury have recently been advanced as tools to assess risk of brain injury in both sport and automotive accidents. The strain metrics have, in some cases, shown excellent capacity to predict diffuse brain injury (including concussion) likelihood and as a result are increasingly being applied to study the mechanics of head injury in professional sports including hockey and football. For these models to predict strain, they require as inputs linear and angular head kinematics. The current state-of-the-art in determining athlete head kinematics is to use in-situ (wearable) sensors, fixed to the athlete's protective headgear. The capacity of these sensors to measure kinematic magnitudes has been studied extensively. To date, there is no research assessing the capacity of these sensors to give accurate (relative to laboratory methods) predictions of brain strain.