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Effects of simulated neuromuscular impairments post-stroke on gait asymmetry

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simtk.org2022-01-05 更新2025-03-21 收录
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Several neuromuscular impairments (e.g., hemiparesis) occur after an individual has a stroke, and these impairments primarily affect one side of the body more than the other. Predictive musculoskeletal modeling presents an opportunity to investigate how a specific impairment affects gait performance post-stroke. Therefore, the aims of our project are to use to predictive simulation to quantify the spatiotemporal asymmetries and changes to metabolic cost that emerge when muscle strength is unilaterally reduced. We used OpenSim Moco with modified sagittal-plane musculoskeletal models to better understand the relationship between unilateral muscle weakness, gait asymmetry and metabolic cost. <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=2272#pack_2305">Moco_2D_Hemiparesis_RTJ </a> : Models, Code, and Data used for project titled "Simulated hemiparesis increases optimal spatiotemporal gait asymmetry but not metabolic cost" https://www.biorxiv.org/content/10.1101/2021.12.20.473515v2 </li> </ul>

多种神经肌肉功能障碍(例如,偏瘫)在个体发生中风后出现,这些功能障碍主要影响身体的一侧,超过另一侧。预测性肌肉骨骼建模为探究特定功能障碍如何影响中风后的步态表现提供了机会。因此,我们项目的研究目标是通过预测性模拟来量化肌肉力量单侧降低时产生的时空非对称性以及代谢成本的改变。我们利用经过修改的矢状面肌肉骨骼模型,采用 OpenSim Moco 软件进行模拟,以更深入地理解单侧肌肉无力、步态非对称性与代谢成本之间的关系。本项研究涉及以下软件/数据包: <ul> <li><a href="https://simtk.org/frs?group_id=2272#pack_2305">Moco_2D_Hemiparesis_RTJ</a>:该项目标题为“模拟偏瘫会增加最佳时空步态非对称性但不会增加代谢成本”的模型、代码和数据。详情请见:https://www.biorxiv.org/content/10.1101/2021.12.20.473515v2</li> </ul>
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