首页> 外文期刊>Annals of Biomedical Engineering: The Journal of the Biomedical Engineering Society >Foot-Ankle Fractures and Injury Probability Curves from Post-mortem Human Surrogate Tests
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Foot-Ankle Fractures and Injury Probability Curves from Post-mortem Human Surrogate Tests

机译:人体验尸后的脚踝骨折和受伤概率曲线

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This purpose of this study was to replicate foot-ankle injuries seen in the military and derive human injury probability curves using the human cadaver model. Lower legs were isolated below knee from seventeen unembalmed human cadavers and they were aligned in a 90-90 posture (plantar surface orthogonal to leg). The specimens were loaded along the tibia axis by applying short-time duration pulses, using a repeated testing protocol. Injuries were documented using pre- and post-test X-rays, computed tomography scans, and dissection. Peak force-based risk curves were derived using survival analysis and accounted for data censoring. Fractures were grouped into all foot-ankle (A), any calcaneus (B), and any tibia injuries (C), respectively. Calcaneus and/or distal tibia/pilon fractures occurred in fourteen tests. Axial forces were the greatest and least for groups C and B, respectively. Times attainments of forces for all groups were within ten milliseconds. The Weibull function was the optimal probability distribution for all groups. Age was significant (p < 0.05) for groups A and C. Survival analysis-based probability curves were derived for all groups. Data are given in the body of paper. Age-based, risk-specific, and continuous distribution probability curves/responses guide in the creation of an injury assessment capability for military blast environments.
机译:这项研究的目的是复制在军队中看到的脚踝受伤,并使用人体尸体模型得出人体受伤的概率曲线。小腿与17具无肢体的人类尸体在膝盖下方隔离,并以90-90的姿势(与脚正交的足底表面)对齐。使用重复的测试方案,通过施加短时脉冲沿胫骨轴加载标本。使用测试前和测试后的X射线,计算机断层扫描和解剖来记录受伤情况。基于峰值力的风险曲线是使用生存分析得出的,并用于数据审查。骨折分为足踝(A),跟骨(B)和胫骨损伤(C)。在十四次测试中发生了跟骨和/或胫骨/ pil骨远端骨折。 C组和B组的轴向力分别最大和最小。所有小组的部队到达时间都在十毫秒之内。威布尔函数是所有组的最佳概率分布。 A和C组的年龄显着(p <0.05)。所有组均获得了基于生存分析的概率曲线。数据在正文中给出。基于年龄,特定风险和连续分布的概率曲线/响应可为军事爆炸环境创建伤害评估功能。

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