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Predictive Capacity of the MADYMO Multibody Human Body Model Applied to Head Kinematics During Rugby Union Tackles

机译:MADYMO多体人体模型的预测能力应用于橄榄球联盟吊杆期间

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摘要

Multibody models have not yet been evaluated for reconstructing head kinematics during sports impacts. Accordingly, the goal of this study was to utilise whole-body motion data from twenty upper and mid/lower trunk rugby shoulder tackles recorded in a marker-based 3D motion analysis laboratory to assess the MADYMO human body passive ellipsoid model for head kinematic reconstruction. Head linear and angular velocity during the tackle for the multibody model predictions and 3D motion laboratory measures were recorded for the ball carrier. Examined were the linear and angular velocity, as well as the absolute and percentage differences. For upper trunk tackles, the median percentage error (with quartiles) for the MADYMO predictions were 10% (6% to 45%) and 23% (16% to 39%) for change in head linear and angular velocity, respectively. For mid/lower trunk tackles, the median percentage error (with quartiles) for the MADYMO predictions were 46% (33% to 63%) and 60% (53% to 123%) for change in head linear and angular velocity, respectively. In conclusion, the model is currently unsuitable for reconstruction of head kinematics during individual rugby union tackle cases.
机译:尚未评估多体模型在运动撞击期间重建头部运动学。因此,本研究的目的是利用来自20个上/中/下部/下部行李箱橄榄球肩部的全身运动数据在基于标记的3D运动分析实验室中记录,以评估用于头运动重建的MADYMO人体被动椭球模型。为球载体记录了用于多体模型预测和3D运动实验室测量的杆线性和角速度。检查是线性和角速度,以及绝对和百分比差异。对于上下行李箱,MADYMO预测的中位数百分比误差(用四分位数)分别为10%(6%至45%),分别为头线性和角速度的变化为10%(6%至45%)和23%(16%至39%)。对于中/下部行李箱铲球,MADYMO预测的中位数误差(用四分位数)分别为6.6%(33%至63%),分别为60%(33%至63%),60%(53%至123%),分别为头线性和角速度的变化。总之,该模型目前不适合在各个橄榄球联盟处理案件中重建头部运动学。

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