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首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Cervical spine model to predict capsular ligament response in rear impact.
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Cervical spine model to predict capsular ligament response in rear impact.

机译:颈椎模型可预测后方撞击中的荚膜韧带反应。

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摘要

Predicting neck kinematics and tissue level response is essential to evaluate the potential for occupant injury in rear impact. A detailed 50th percentile male finite element model, previously validated for frontal impact, was validated for rear impact scenarios with material properties based on actual tissue properties from the literature. The model was validated for kinematic response using 4 g volunteer and 7 g cadaver rear impacts, and at the tissue level with 8 g isolated full spine rear impact data. The model was then used to predict capsular ligament (CL) strain for increasing rear impact severity, since CL strain has been implicated as a source of prolonged pain resulting from whiplash injury. The model predicted the onset of CL injury for a 14 g rear impact, in agreement with motor vehicle crash epidemiology. More extensive and severe injuries were predicted with increasing impact severity. The importance of muscle activation was demonstrated for a 7 g rear impact where the CL strain was reduced from 28 to 13% with active muscles. These aspects have not previously been demonstrated experimentally, since injurious load levels cannot be applied to live human subjects. This study bridges the gap between low intensity volunteer impacts and high intensity cadaver impacts, and predicts tissue level response to assess the potential for occupant injury.
机译:预测颈部运动学和组织水平响应对于评估后方撞击中乘员受伤的可能性至关重要。根据文献中的实际组织特性,对先前经过正面冲击验证的详细的第50个百分位男性有限元模型进行了后向冲击验证,并具有材料特性。使用4 g志愿者和7 g尸体后部撞击并在组织水平使用8 g单独的完整脊柱后部撞击数据对模型的运动学响应进行了验证。该模型随后被用来预测荚膜韧带(CL)应变,以增加后部撞击的严重程度,因为CL应变已被认为是鞭打损伤导致的长时间疼痛的来源。该模型与机动车碰撞流行病学相一致,预测了14 g后方撞击会导致CL损伤的发生。随着冲击强度的增加,预计会发生更广泛,更严重的伤害。对于7 g的后部冲击,肌肉激活的重要性得到了证明,其中活跃肌肉的CL应变从28%降低至13%。由于伤害负荷水平无法应用于活着的人类受试者,因此以前没有通过实验证明过这些方面。这项研究弥合了低强度志愿者影响和高强度尸体影响之间的差距,并预测了组织水平反应以评估对乘员伤害的可能性。

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