Effect of Muscle Forces on Femur During Level Walking Using a Virtual Population of Older Women.
Effect of Muscle Forces on Femur During Level Walking Using a Virtual Population of Older Women.
复制标题
使用老年女性的虚拟群体进行水平行走时肌肉力量对股骨的影响。
DOI：
10.1007/978-1-0716-3449-3_15
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Altai Z
中科院分区：
文献类型：
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作者：
Altai Z
衰老与肌肉和骨骼疾病如肌肉减少症和骨质疏松症的风险增加有关。这些情况严重影响一个人的行动能力和生活质量。在过去，肌肉和骨骼经常被单独研究，使用通用或缩放的信息，这些信息不是个人特定的，也不代表老年人中看到的巨大变化。因此，老年肌肉和骨骼之间的机械相互作用还没有得到很好的理解，特别是在进行日常活动时。本研究提出了一个耦合的方法，在整个身体和器官水平，使用完全个人特定的肌肉骨骼和有限元模型，以研究股骨负荷水平行走。下肢肌肉体积/力量的变化进行了检查，使用虚拟人口。然后将这些肌肉力量应用于股骨的有限元模型，以研究预测应变的变化。研究表明，两个尺度之间的有效耦合可以进行研究的肌肉-骨骼的相互作用在老年妇女。虚拟群体的生成是一种可行的方法，可以基于可以模拟较大队列中观察到的变异的小群体来增加解剖变异。这是一种有价值的替代方案，可以克服从大量人群中收集数据集的限制或需要，这既耗时又耗资源。
Aging is associated with a greater risk of muscle and bone disorders such as sarcopenia and osteoporosis. These conditions substantially affect one’s mobility and quality of life. In the past, muscles and bones are often studied separately using generic or scaled information that are not personal-specific, nor are they representative of the large variations seen in the elderly population. Consequently, the mechanical interaction between the aged muscle and bone is not well understood, especially when carrying out daily activities. This study presents a coupling approach across the body and the organ level, using fully personal-specific musculoskeletal and finite element models in order to study femoral loading during level walking. Variations in lower limb muscle volume/force were examined using a virtual population. These muscle forces were then applied to the finite element model of the femur to study the variations in predicted strains. The study shows that effective coupling across two scales can be carried out to study the muscle-bone interaction in elderly women. The generation of a virtual population is a feasible approach to augment anatomical variations based on a small population that could mimic variations seen in a larger cohort. This is a valuable alternative to overcome the limitation or the need to collect dataset from a large population, which is both time and resource consuming.