Parametric Evaluation of Head Center of Gravity Acceleration Error From Rigid Body Kinematics Assumptions Used in Environmental Sensors

Brandon A. Brown, R. Daniel, V. Chancey, Tyler F. Rooks
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Abstract

Environmental sensors (ES) are a proposed way to identify potentially concussive events using Rigid Body Kinematics (RBK) to get motion at the head CG. This study systematically investigated the extent that errors in RBK assumptions including sensor orientation (SO), head CG position (HCGP), and exposure severity contribute to errors in sensor readings of predicted peak resultant linear acceleration (PRLA) at the head CG. Simulated sensor readings were defined by idealized representations of head motion [extension, lateral bending and axial rotation] using a half sine pulse for linear and angular acceleration. Peak magnitudes of linear acceleration ranged from 12.5 to 100 Gs and peak magnitudes of angular acceleration ranged from 1250 to 10000 rad/s/s. Durations of linear and angular accelerations ranged between 5 and 30 ms. Simulated HCGP variations ranged from −10% to 10% radius of the head (assumed to be a sphere) in each direction and SO variations ranged from −20 to 20 degrees about each axis. True head CG response was calculated using zero error for SO and HCGP. Mean (+/− standard deviation) of calculated errors for maximum percent error (MaxPE) of a given head exposure was 30.3% (+/−9.71). 50% and 38% of all simulated exposures had MaxPE associated with maximum SO and HCGP offset, respectively. MaxPE was likely due to user error, ES form factor, and anthropometric variation.
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基于刚体运动学假设的环境传感器头部重心加速度误差参数化评价
环境传感器(ES)是一种利用刚体运动学(RBK)获得头部CG运动来识别潜在震荡事件的方法。本研究系统地调查了RBK假设的误差程度,包括传感器方向(SO)、头部CG位置(HCGP)和暴露严重程度,这些误差会导致传感器在头部CG处预测峰值结果线性加速度(PRLA)的误差。模拟传感器读数通过头部运动的理想化表示(扩展,侧向弯曲和轴向旋转)来定义,使用半正弦脉冲进行线性和角加速度。线加速度峰值为12.5 ~ 100g,角加速度峰值为1250 ~ 10000rad /s。线加速度和角加速度的持续时间在5到30毫秒之间。模拟的HCGP在每个方向上的变化范围为头部半径的- 10%到10%(假设是一个球体),而每个轴的SO变化范围为- 20到20度。对SO和HCGP使用零误差计算真实头部CG响应。给定头部暴露的最大百分比误差(MaxPE)计算误差的平均值(+/ -标准差)为30.3%(+/ - 9.71)。50%和38%的模拟暴露分别具有与最大SO和HCGP偏移相关的MaxPE。MaxPE可能是由于用户错误、ES外形因素和人体测量变化造成的。
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