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一种用于估计站立阶段踝关节接触压力的扩展离散元方法。

An extended discrete element method for the estimation of contact pressure at the ankle joint during stance phase.

机构信息

INSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.

Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.

出版信息

Proc Inst Mech Eng H. 2020 May;234(5):507-516. doi: 10.1177/0954411920905434. Epub 2020 Feb 8.

Abstract

Abnormalities in the ankle contact pressure are related to the onset of osteoarthritis. In vivo measurements are not possible with currently available techniques, so computational methods such as the finite element analysis (FEA) are often used instead. The discrete element method (DEM), a computationally efficient alternative to time-consuming FEA, has also been used to predict the joint contact pressure. It describes the articular cartilage as a bed of independent springs, assuming a linearly elastic behaviour and absence of relative motion between the bones. In this study, we present the extended DEM (EDEM) which is able to track the motion of talus over time. The method was used, with input data from a subject-specific musculoskeletal model, to predict the contact pressure in the ankle joint during gait. Results from EDEM were also compared with outputs from conventional DEM. Predicted values of contact area were larger in EDEM than they were in DEM (4.67 and 4.18 cm, respectively). Peak values of contact pressure, attained at the toe-off, were 7.3 MPa for EDEM and 6.92 MPa for DEM. Values predicted from EDEM fell well within the ranges reported in the literature. Overall, the motion of the talus had more effect on the extension and shape of the pressure distribution than it had on the magnitude of the pressure. The results indicated that EDEM is a valid methodology for the prediction of ankle contact pressure during daily activities.

摘要

踝关节接触压力的异常与骨关节炎的发病有关。目前的技术无法进行活体测量,因此通常使用计算方法,如有限元分析 (FEA)。离散元法 (DEM) 是一种计算效率高的替代方法,可替代耗时的 FEA,也被用于预测关节接触压力。它将关节软骨描述为独立弹簧的床,假设其具有线弹性行为,并且骨骼之间没有相对运动。在这项研究中,我们提出了能够随时间跟踪距骨运动的扩展离散元法 (EDEM)。该方法使用来自特定于个体的肌肉骨骼模型的输入数据,来预测步态期间踝关节的接触压力。EDEM 的结果还与传统 DEM 的输出进行了比较。EDEM 中的接触面积预测值大于 DEM(分别为 4.67 和 4.18cm)。EDEM 中的接触压力峰值在足趾离地时达到 7.3MPa,而 DEM 中的峰值为 6.92MPa。EDEM 预测的值在文献报道的范围内。总体而言,距骨的运动对压力分布的延伸和形状的影响大于对压力大小的影响。结果表明,EDEM 是预测日常活动中踝关节接触压力的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f79/7469707/1f22323b567c/10.1177_0954411920905434-fig1.jpg

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