IEEE Trans Neural Syst Rehabil Eng. 2021;29:123-133. doi: 10.1109/TNSRE.2020.3037411. Epub 2021 Feb 26.
Accurate knowledge of the joint kinematics, kinetics, and soft tissue mechanical responses is essential in the evaluation of musculoskeletal (MS) disorders. Since in vivo measurement of these quantities requires invasive methods, musculoskeletal finite element (MSFE) models are widely used for simulations. There are, however, limitations in the current approaches. Sequentially linked MSFE models benefit from complex MS and FE models; however, MS model's outputs are independent of the FE model calculations. On the other hand, due to the computational burden, embedded (concurrent) MSFE models are limited to simple material models and cannot estimate detailed responses of the soft tissue. Thus, first we developed a MSFE model of the knee with a subject-specific MS model utilizing an embedded 12 degrees of freedom (DoFs) knee joint with elastic cartilages in which included both secondary kinematic and soft tissue deformations in the muscle force estimation (inverse dynamics). Then, a muscle-force-driven FE model with fibril-reinforced poroviscoelastic cartilages and fibril-reinforced poroelastic menisci was used in series to calculate detailed tissue mechanical responses (forward dynamics). Second, to demonstrate that our workflow improves the simulation results, outputs were compared to results from the same FE models which were driven by conventional MS models with a 1 DoF knee, with and without electromyography (EMG) assistance. The FE model driven by both the embedded and the EMG-assisted MS models estimated similar results and consistent with experiments from literature, compared to the results estimated by the FE model driven by the MS model with 1 DoF knee without EMG assistance.
准确了解关节运动学、动力学和软组织力学响应对于评估肌肉骨骼(MS)疾病至关重要。由于这些量的体内测量需要侵入性方法,因此广泛使用肌肉骨骼有限元(MSFE)模型进行模拟。然而,目前的方法存在局限性。顺序链接的 MSFE 模型受益于复杂的 MS 和 FE 模型;但是,MS 模型的输出与 FE 模型的计算无关。另一方面,由于计算负担,嵌入式(并发)MSFE 模型仅限于简单的材料模型,无法估计软组织的详细响应。因此,我们首先开发了一种具有特定于个体的 MS 模型的膝关节 MSFE 模型,该模型利用嵌入式 12 自由度(DoFs)膝关节,其中包括弹性软骨中的二次运动学和软组织变形,以在肌肉力估计(逆动力学)中包含在内。然后,使用纤维增强的多孔粘弹性软骨和纤维增强的多孔弹性半月板的肌肉力驱动的 FE 模型串联起来,以计算详细的组织力学响应(正向动力学)。其次,为了证明我们的工作流程可以改善模拟结果,将输出结果与由具有 1 个自由度的膝关节的常规 MS 模型驱动的相同 FE 模型的结果进行了比较,这些结果包括有无肌电图(EMG)辅助。与没有 EMG 辅助的具有 1 个自由度膝关节的 MS 模型驱动的 FE 模型相比,由嵌入式和 EMG 辅助的 MS 模型驱动的 FE 模型估计的结果相似,并且与文献中的实验结果一致。