Development, and validation of a 3-D model to predict knee joint loading-during, dynamic movement
Development, and validation of a 3-D model to predict knee joint loading-during, dynamic movement
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DOI：
10.1115/1.1634282
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发表时间：
2003-12-01
影响因子：
1.7
通讯作者：
van den Bogert, AJ
中科院分区：
文献类型：
--
作者：
McLean, SG;Su, A;van den Bogert, AJ
本研究的目的是开发一个受试者特定的下肢三维模型，以预测运动过程中神经肌肉对三维膝关节负荷的控制作用，这些运动可能会导致膝关节前交叉韧带（ACL）损伤。该仿真包括下肢的前向动态三维肌肉骨骼模型。四肢，按比例代表一个特定的主体。模型的输入是骨骼元素的初始位置和速度，以及肌肉的刺激模式。该模型的输出是运动和地面反作用力，以及合成的三维力和作用在膝关节上的力矩。建立了一种优化方法，以寻找最能再现受试者在回避任务时的运动和地面反作用力的肌肉刺激模式。优化的模型产生的运动和力通常在测量对象数据的一个标准差内。膝关节。从优化模型中提取的加载变量与文献报道的加载变量相当。该模型成功预测受试者对改变初始条件的反应的能力被量化，并被发现可用于研究在回避过程中改变的神经肌肉控制对膝关节负荷的影响。蒙特卡罗模拟（N = 100,000）基于受试者的可变性，使用随机扰动的初始运动学条件，结果显示，峰值前力、外翻扭矩和内扭矩值分别为378 N、94 Nm和71 Nm，足以导致ACL破裂。我们得出的结论是，本文中描述的程序成功地创建了正常运动的有效模拟，并模拟了由神经肌肉控制紊乱引起的损伤。
The purpose of this study was to develop a subject-specific 3-D model of the lower extremity to predict neuromuscular control effects on 3-D knee joint loading during movements that can potentially cause injury to the anterior cruciate ligament (ACL) in the knee. The simulation consisted of a forward dynamic 3-D musculoskeletal model of the lower. extremity, scaled to represent a specific subject. Inputs of the model were the initial position and velocity of the skeletal elements, and the muscle stimulation patterns. Outputs of the model were movement and ground reaction forces, a well as resultant 3-D forces and moments acting across the knee joint. An optimization method was established to find muscle stimulation patterns that best reproduced the subject's movement and ground reaction forces during a sidestepping task. The optimized model produced movements and forces that were generally within one standard deviation of the measured subject data. Resultant knee joint. loading variables extracted from the optimized model were comparable to those reported in the literature. The ability of the model to successfully predict the subject's response to altered initial conditions was quantified and found acceptable for use of the model to investigate the effect of altered neuromuscular control on knee joint loading during sidestepping. Monte Carlo simulations (N = 100, 000) using randomly perturbed initial kinematic conditions, based on the subject's variability, resulted in peak anterior force, valgus torque and internal torque values of 378 N, 94 Nm and 71 Nm, respectively, large enough to cause ACL rupture. We conclude that the procedures described in this paper were successful in creating valid simulations of normal movement, and in simulating injuries that are caused by perturbed neuromuscular control.