Purevsuren Tserenchimed, Dorj Ariunzaya, Kim Kyungsoo, Kim Yoon Hyuk
Department of Mechanical Engineering, Kyung Hee University, Yongin, Korea.
Department of Applied Mathematics, Kyung Hee University, Yongin, Korea.
Proc Inst Mech Eng H. 2016 Apr;230(4):288-97. doi: 10.1177/0954411916634750. Epub 2016 Feb 23.
The computational modeling approach has commonly been used to predict knee joint contact forces, muscle forces, and ligament loads during activities of daily living. Knowledge of these forces has several potential applications, for example, within design of equipment to protect the knee joint from injury and to plan adequate rehabilitation protocols, although clinical applications of computational models are still evolving and one of the limiting factors is model validation. The objective of this study was to extend previous modeling technique and to improve the validity of the model prediction using publicly available data set of the fifth "Grand Challenge Competition to Predict In Vivo Knee Loads." A two-stage modeling approach, which combines conventional inverse dynamic analysis (the first stage) with a multi-body subject-specific lower limb model (the second stage), was used to calculate medial and lateral compartment contact forces. The validation was performed by direct comparison of model predictions and experimental measurement of medial and lateral compartment contact forces during normal and turning gait. The model predictions of both medial and lateral contact forces showed strong correlations with experimental measurements in normal gait (r = 0.75 and 0.71) and in turning gait trials (r = 0.86 and 0.72), even though the current technique over-estimated medial compartment contact forces in swing phase. The correlation coefficient, Sprague and Geers metrics, and root mean squared error indicated that the lateral contact forces were predicted better than medial contact forces in comparison with the experimental measurements during both normal and turning gait trials.
计算建模方法通常用于预测日常生活活动期间的膝关节接触力、肌肉力和韧带负荷。了解这些力有几个潜在的应用，例如，在设计保护膝关节免受损伤的设备以及规划适当的康复方案方面，尽管计算模型的临床应用仍在不断发展，其中一个限制因素是模型验证。本研究的目的是扩展先前的建模技术，并使用第五届“预测体内膝关节负荷大挑战竞赛”的公开可用数据集提高模型预测的有效性。采用两阶段建模方法，将传统的逆动力学分析（第一阶段）与多体特定个体下肢模型（第二阶段）相结合，来计算内侧和外侧间室的接触力。通过直接比较模型预测结果与正常步态和转弯步态期间内侧和外侧间室接触力的实验测量值来进行验证。内侧和外侧接触力的模型预测结果与正常步态（r = 0.75和0.71）和转弯步态试验（r = 0.86和0.72）中的实验测量值均显示出很强的相关性，尽管当前技术在摆动期高估了内侧间室接触力。相关系数、斯普拉格和吉尔兹指标以及均方根误差表明，与正常步态和转弯步态试验期间的实验测量值相比，外侧接触力的预测优于内侧接触力。
