用于在OpenSim中再现实验获得的头部碰撞的头部和颈部的受试者特定模型

Jonathan D Mortensen, M. Homayounpour, A. Merryweather
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引用次数: 1

摘要

模拟可能导致脑震荡的头部撞击有助于减少运动中头部受伤的风险。以前的研究使用了通用模型,可能遗漏了特定主题的因素,当与实验数据相结合时,可能会提供有关个人风险的额外见解。本研究详细介绍了创建更多针对受试者的头部和颈部OpenSim模型的方法,这些模型可用于未来的研究,以评估撞击过程中头部损伤的风险。使用文献中可获得的数据,对通用模型进行缩放以匹配受试者的身高和体重。肌肉力量和被动特性也进行了缩放,以再现在安全撞击头部时获得的实验数据。除了一个主体模型外,所有主体模型的实验和仿真运动学值之间的平均误差都在15%以下。通过应用本研究中提出的方法,未来的工作可能包括使用特定主题的模型来评估单个运动员,并生成个性化的训练方案,以帮助预防受伤。未来的工作还可以包括特定受试者模型,以研究姿势、惊吓反应和听觉警告对头部损伤指标的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subject-Specific Models of the Head and Neck for Reproducing Experimentally Obtained Head Impacts in OpenSim
Simulating impacts to the head that are likely to cause concussion contributes knowledge to inform efforts to reduce head injury risk in sports. Previous studies used generic models and potentially missed subject-specific factors, which when combined with experimental data may offer additional insights about an individual’s risk. This study details methods for creating more subject-specific OpenSim models of the head and neck, which can be used in future studies to evaluate head injury risk during impacts. A generic model was scaled to match subject height and weight using data available from the literature. Muscle strength and passive properties were also scaled in order to reproduce experimental data obtained during safe impacts to the head. The average error between experimental and simulation kinematic values was under 15% for all but one of the subject-models. By applying the methods presented in this study, future work could include using subject-specific models to assess individual athletes and generate personalized training protocols to help prevent injury. Future work could also include subject-specific models to investigate the effects of posture, startle response, and auditory warnings on head injury metrics.
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