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Brain strain uncertainty due to shape variation in and simplification of head angular velocity profiles

机译:由于形状变化引起的脑部应变不确定性和头部角速度分布的简化

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摘要

Head angular velocity, instead of acceleration, is more predictive of brain strains. Surprisingly, no study exists that investigates how shape variation in angular velocity profiles affects brain strains, beyond characteristics such as peak magnitude and impulse duration. In this study, we evaluated brain strain uncertainty due to variation in angular velocity profiles, and further compared with that resulting from simplifying the profiles into idealized shapes. To do so, we used reconstructed head impacts from American National Football League for shape extraction, and simulated head uniaxial coronal rotations from onset to full stop. The velocity profiles were scaled to maintain an identical peak velocity magnitude and duration in order to isolate the shape for investigation. Element-wise peak maximum principal strains from 44 selected impacts were obtained. We found that the shape of angular velocity profile could significantly affect brain strain magnitude (e.g., percentage difference of 4.29–17.89% in the whole-brain relative to the group average, with cumulative strain damage measure (CSDM) uncertainty range of 23.9%) but not pattern (correlation coefficient of 0.94–0.99). Strain differences resulting from simplifying angular velocity profiles into idealized shapes were largely within the range due to shape variation, in both percentage difference and CSDM (signed difference of 3.91% on average, with a typical range of 0–6%). These findings provide important insight into the uncertainty or confidence in the performance of kinematics-based injury metrics. More importantly, they suggest the feasibility to simplify head angular velocity profiles into idealized shapes, at least within the confinements of the profiles evaluated, to enable real-time strain estimation via pre-computation in the future.
机译:头部角速度而不是加速度更能预测脑部劳损。出人意料的是,除了诸如峰值幅度和脉冲持续时间之类的特征外,还没有研究调查角速度曲线的形状变化如何影响脑部劳损。在这项研究中,我们评估了由于角速度曲线变化而导致的脑部应变不确定性,并将其与将轮廓简化为理想形状所产生的不确定性进行了比较。为此,我们使用了美国国家橄榄球联盟重建的头部撞击进行形状提取,并模拟了从发病到完全停止的头部单轴冠状旋转。缩放速度轮廓以保持相同的峰值速度大小和持续时间,以便隔离形状以进行研究。从44个选定的冲击中获得了单元方向的最大最大主应变。我们发现角速度分布图的形状可能会显着影响脑部应变幅度(例如,全脑相对于组平均值的百分比差异为4.29–17.89%,累积应变损伤测量(CSDM)不确定性范围为23.9%)但不是模式(相关系数为0.94–0.99)。由于将角速度轮廓简化为理想形状而导致的应变差在很大程度上由于形状变化而在该范围内,包括百分比差和CSDM(符号差平均为3.91%,典型范围为0%至6%)。这些发现为基于运动学的伤害指标的不确定性或信心提供了重要的见识。更重要的是,他们建议至少在所评估的轮廓范围内将头角速度轮廓简化为理想形状的可行性,以便将来可以通过预计算进行实时应变估算。

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