Synergy Optimization

These MATLAB codes are an implementation of a novel approach for estimating muscle forces/activations by imposing a synergy structure within optimization (termed “synergy optimization,” or SynO). For comparison, users can switch to a MATLAB implementation of a static optimization in the code. Sample experimental overground walking data obtained from the first knee grand challenge competition are also included. For more details about this study and project, read the following paper:Shourijeh, Mohammad S., and Benjamin J. Fregly. "Muscle Synergies Modify Optimization Estimates of Joint Stiffness During Walking." Journal of Biomechanical Engineering 142.1 (2020). <br/><br/>This project includes the following software/data packages: <br/> <ul> <li> <a href="https://simtk.org/frs?group_id=1977#pack_2203">SynO Files </a> : Main simulation script and experimental data to run SynO </li> </ul>

本MATLAB代码实现了一种新型的肌肉力量/激活估计方法，该方法通过在优化过程中引入协同结构（称为“协同优化”，或简称SynO）来实现。为了便于比较，用户可以在代码中切换至静态优化的MATLAB实现。此外，数据集还包括来自首届膝关节挑战赛的第一名获奖者的地面行走实验数据。欲了解更多关于本研究和项目的信息，请参阅以下论文：Shourijeh, Mohammad S. 和 Benjamin J. Fregly. “步行过程中肌肉协同作用对关节刚度优化估计的影响.” 生物力学工程杂志 142.1 (2020). 代码包中包含以下软件/数据集：
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<li><a href="https://simtk.org/frs?group_id=1977#pack_2203">SynO 文件</a>：运行SynO的主模拟脚本和实验数据</li>
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