Accurate muscle geometry (muscle length and moment arm) is required to estimate muscle function when using musculoskeletal modelling. In shoulder, muscles are often modelled as a collection of independent line segments, leading to non-physiological muscles trajectory, especially for the rotator cuff muscles. To prevent this, a surface mesh model was developed and validated against 7 MRI positions in one participant. Mean moment arm errors was 11.4% for the line vs. 8.8% for the mesh model. While the model with independent lines led to some non-physiological trajectories, the mesh model gave lower misestimations of muscle lengths and moment arms.

译文

使用肌肉骨骼模型时,需要准确的肌肉几何形状 (肌肉长度和力矩臂) 来估计肌肉功能。在肩部,肌肉通常被建模为独立线段的集合,从而导致非生理肌肉轨迹,尤其是对于肩袖肌肉。为了防止这种情况,开发了一个表面网格模型,并针对一名参与者的7个MRI位置进行了验证。11.4% 直线的平均力矩臂误差与网格模型的8.8%。虽然具有独立线条的模型导致了一些非生理轨迹,但网格模型对肌肉长度和力矩臂的误判较低。

+1
+2
100研值 100研值 ¥99课程
检索文献一次
下载文献一次

去下载>

成功解锁2个技能,为你点赞

《SCI写作十大必备语法》
解决你的SCI语法难题!

技能熟练度+1

视频课《玩转文献检索》
让你成为检索达人!

恭喜完成新手挑战

手机微信扫一扫,添加好友领取

免费领《Endnote文献管理工具+教程》

微信扫码, 免费领取

手机登录

获取验证码
登录