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A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis.
Applied Bionics and Biomechanics ( IF 2.2 ) Pub Date : 2020-05-14 , DOI: 10.1155/2020/9679372
Manon Limousis-Gayda 1 , Rami Hashish 1
Affiliation  

Concussions represent an increasing economic burden to society. Motor vehicle collisions (MVCs) are of the leading causes for sustaining a concussion, potentially due to high head accelerations. The change in velocity (i.e., delta-) of a vehicle in a MVC is an established metric for impact severity. Accordingly, the purpose of this paper is to analyze findings from previous research to determine the relation between delta- and linear head acceleration, including occupant parameters. Data was collected from previous research papers comprising both linear head acceleration and delta- at the time of incident, head position of the occupant, awareness of the occupant prior to impact, as well as gender, age, height, and weight. Statistical analysis revealed the following significant power relation between delta- and head acceleration: (, ). Further analysis revealed that alongside delta-, the occupant’s gender and head position prior to impact were significant predictors of head acceleration ( and , respectively). The strongest model developed in this paper is considered physiologically implausible as the delta- corresponding to a theoretical concussion threshold of 80 g exceeds the delta- associated with probability of fatality. Future research should be aimed at providing a more thorough data set of the occupant head kinematics in MVCs to help develop a stronger predictive model for the relation between delta- and head linear and angular acceleration.

中文翻译:

一种评估后方车辆碰撞中脑震荡潜能的拟议算法:Meta分析。

脑震荡对社会造成了越来越大的经济负担。机动车辆碰撞(MVC)是造成脑震荡的主要原因,可能是由于头部加速过大。MVC中车辆速度的变化(即delta- 是确定碰撞严重性的指标。因此,本文的目的是分析以前的研究结果,以确定包括乘员参数在内的头部和头部线性加速度之间的关系。数据是从以前的研究论文中收集的,包括线性磁头加速度和增量-发生事故时,乘员的头部位置,乘员在撞击前的意识以及性别,年龄,身高和体重。统计分析表明,增量加速度和头部加速度之间存在以下重要的幂关系: )。进一步的分析表明,与delta-相比乘员在撞击前的性别和头部位置是头部加速的重要预测指标(分别地)。本文开发的最强模型在生理上被认为是不可信的,因为对应于80 g理论脑震荡阈值的δ超过了与死亡概率相关的δ。未来的研究应旨在为MVC中的乘员头部运动学提供更全面的数据集,以帮助开发更强大的预测模型,用于预测三角洲和头部的线性加速度和角加速度之间的关系。
更新日期:2020-05-14
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