University of Utah, Salt Lake City, UT, USA.
J Biomech. 2010 Jun 18;43(9):1645-52. doi: 10.1016/j.jbiomech.2010.03.005. Epub 2010 Apr 10.
Several full body musculoskeletal models have been developed for research applications and these models may potentially be developed into useful clinical tools to assess gait pathologies. Existing full-body musculoskeletal models treat the foot as a single segment and ignore the motions of the intrinsic joints of the foot. This assumption limits the use of such models in clinical cases with significant foot deformities. Therefore, a three-segment musculoskeletal model of the foot was developed to match the segmentation of a recently developed multi-segment kinematic foot model. All the muscles and ligaments of the foot spanning the modeled joints were included. Muscle pathways were adjusted with an optimization routine to minimize the difference between the muscle flexion-extension moment arms from the model and moment arms reported in literature. The model was driven by walking data from five normal pediatric subjects (aged 10.6+/-1.57 years) and muscle forces and activation levels required to produce joint motions were calculated using an inverse dynamic analysis approach. Due to the close proximity of markers on the foot, small marker placement error during motion data collection may lead to significant differences in musculoskeletal model outcomes. Therefore, an optimization routine was developed to enforce joint constraints, optimally scale each segment length and adjust marker positions. To evaluate the model outcomes, the muscle activation patterns during walking were compared with electromyography (EMG) activation patterns reported in the literature. Model-generated muscle activation patterns were observed to be similar to the EMG activation patterns.
已经开发出了几种用于研究应用的全身肌肉骨骼模型,这些模型有可能发展成为评估步态病理的有用临床工具。现有的全身肌肉骨骼模型将脚视为一个单一的节段,忽略了脚的内在关节的运动。这种假设限制了这些模型在具有显著足部畸形的临床病例中的使用。因此,开发了一种三段式足部肌肉骨骼模型,以匹配最近开发的多节段运动学足部模型的分段。跨越建模关节的足部所有肌肉和韧带都包括在内。肌肉途径通过优化程序进行调整,以最小化模型和文献中报告的肌肉屈伸力臂之间的差异。该模型由五个正常儿科受试者(年龄 10.6+/-1.57 岁)的步行数据驱动,使用逆动力学分析方法计算产生关节运动所需的肌肉力和激活水平。由于足部标记物非常接近,运动数据采集过程中标记物的微小放置误差可能导致肌肉骨骼模型结果的显著差异。因此,开发了一种优化程序来强制关节约束,最佳缩放每个节段的长度并调整标记位置。为了评估模型结果,将步行过程中的肌肉激活模式与文献中报道的肌电图(EMG)激活模式进行了比较。观察到模型生成的肌肉激活模式与 EMG 激活模式相似。