运行过程中的冲击力:加载的问题,合理的结果

Andrew B. Udofa, Laurence J. Ryan, P. Weyand
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引用次数: 7

摘要

负载小车被用作实验工具,以评估基于解剖学的人体双质量模型的能力,该模型仅从四个输入:体重(Wb)、接触时间(tc)、空中时间(ta)和下肢加速度(a1)来预测跑步过程中的垂直冲击和峰值力。7名受试者在自制的力测量跑步机上进行定速试验(3.0-6.0 m·s-1),在三种负荷条件下进行同步运动和力数据:卸载(1.0 Wb), 15%增加重量(1.15 Wb)和30%增加重量(1.30 Wb)。模型预测的冲击和峰值力与实测值的平均对应度分别为14.9±1.3%和13.8±0.6% (R2最佳拟合=0.82和0.88,n=71)。从光学位置-时间数据中获得的踝关节跳动和速度数据表明,可穿戴传感器获取模型所需的输入是完全可行的。我们得出的结论是,双质量模型提供了一种有前途的方法来量化使用可穿戴技术的地面反作用力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact forces during running: Loaded questions, sensible outcomes
Load carriage was used as an experimental tool to evaluate the ability of an anatomically-based, two-mass model of the human body to predict vertical impact and peak forces during running from only four inputs: body weight (Wb), contact time (tc), aerial time, (ta), and lower-limb acceleration (a1). Simultaneous motion and force data were acquired from seven subjects during steady-speed trials (3.0-6.0 m·s-1) on a custom, force-instrumented treadmill under three loading conditions: unloaded (1.0 Wb), 15% added weight (1.15 Wb) and 30% added weight (1.30 Wb). Model-predicted impact and peak forces corresponded with measured values, on average, to within 14.9±1.3% and 13.8±0.6%, respectively (R2 best-fits=0.82 and 0.88, n=71). Ankle jerk and velocity data derived from optical position-time data suggest wearable sensor acquisition of the model-needed inputs is fully feasible. We conclude that the two-mass model offers a promising approach to quantifying running ground reaction forces using wearable technologies.
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