An open source lower limb model: Hip joint validation
An open source lower limb model: Hip joint validation
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DOI：
10.1016/j.jbiomech.2011.06.019
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发表时间：
2011-08-11
影响因子：
2.4
通讯作者：
Bull, A. M. J.
中科院分区：
文献类型：
--
作者：
Modenese, L.;Phillips, A. T. M.;Bull, A. M. J.
肌肉骨骼下肢模型已被证明能够预测髋关节接触力（HCF），这是从仪器假体获得的体内测量值相媲美。然而，由这些模型预测的肌肉募集不一定与测量的肌电图（EMG）信号很好地比较。为了验证是否可以从与EMG测量一致的肌肉力模式准确地估计HCF，基于公开的解剖数据集的下肢模型（Klein Horsman等人，2007.临床生物力学。22，239-247）已经在开源软件OpenSim中实现。针对在四名关节成形术患者的步态和爬楼梯试验期间记录的HCF进行周期到周期的髋关节验证（Bergmann等人，2001.生物力学杂志。34，859-871）。髋关节肌肉张力估计通过最小化的肌肉力量的多项式函数。通过评估多个权力的目标函数得到的肌肉激活模式进行了比较，从文献中的EMG配置文件。计算的HCF表示当提高目标函数的功率时单调增加其幅度的趋势;当二次目标函数最小化时，发现从与实验EMG曲线一致的肌肉力获得的最佳估计（实验峰值帧处的平均高估：10.1%用于步行，7.8%爬楼梯）下肢模型可以产生肌肉力和关节接触力的适当平衡组，其可以用于需要精确量化的一系列应用中。两者都是开发的模型可在网站https://simtk.org/home/low_limb_london上查阅。(C)2011爱思唯尔有限公司保留所有权利。
Musculoskeletal lower limb models have been shown to be able to predict hip contact forces (HCFs) that are comparable to in vivo measurements obtained from instrumented prostheses. However, the muscle recruitment predicted by these models does not necessarily compare well to measured electromyographic (EMG) signals.In order to verify if it is possible to accurately estimate HCFs from muscle force patterns consistent with EMG measurements, a lower limb model based on a published anatomical dataset (Klein Horsman et al., 2007. Clinical Biomechanics. 22, 239-247) has been implemented in the open source software OpenSim. A cycle-to-cycle hip joint validation was conducted against HCFs recorded during gait and stair climbing trials of four arthroplasty patients (Bergmann et al., 2001. Journal of Biomechanics. 34, 859-871). Hip joint muscle tensions were estimated by minimizing a polynomial function of the muscle forces. The resulting muscle activation patterns obtained by assessing multiple powers of the objective function were compared against EMG profiles from the literature. Calculated HCFs denoted a tendency to monotonically increase their magnitude when raising the power of the objective function; the best estimation obtained from muscle forces consistent with experimental EMG profiles was found when a quadratic objective function was minimized (average overestimation at experimental peak frame: 10.1% for walking, 7.8% for stair climbing).The lower limb model can produce appropriate balanced sets of muscle forces and joint contact forces that can be used in a range of applications requiring accurate quantification of both. The developed model is available at the website https://simtk.org/home/low_limb_london. (C) 2011 Elsevier Ltd. All rights reserved.