Musculoskeletal modeling allows researchers insight into joint mechanics which might not otherwise be obtainable through in vivo or in vitro studies. Common musculoskeletal modeling techniques involve rigid body dynamics software which often employ simplified joint representations. These representations have proven useful but are limited in performing single‐framework deformable analyzes in structures of interest. Musculoskeletal finite element (MSFE) analysis allows for representation of structures in sufficient detail to obtain accurate solutions of the internal stresses and strains including complex contact conditions and material representations. Studies which performed muscle force optimization directly in a finite element framework were often limited in complexity to minimize computational time. Recent advances in computational efficiency and control schemes for muscle force prediction have made these solutions more practical. Yet, the formulation of subject‐specific simulations remains a challenging problem. The objectives of this work were to develop an open‐source computational framework to build and run simulations which (a) scale the size of MSFE models and efficiently estimate (b) joint kinematics and (c) muscle forces from human motion data collected in a typical gait laboratory. A computational framework was built using MATLAB and Python to interface with model input and output files. The software uses laboratory marker data to scale model segment lengths and estimate joint kinematics. Concurrent muscle force and tissue strain estimations are performed based on the estimated kinematics and ground reaction forces. This software will improve the usability and consistency of single‐framework MSFE simulations. Both software and template model are made freely available on SimTK.Novelty Statement

• Single framework musculoskeletal modeling directly in a finite element environment for muscle force estimation and tissue strain analysis.
• Open dissemination of unilateral musculoskeletal finite element model and software used in manuscript

中文翻译：

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ReadySim：一种计算框架，用于直接根据运动实验室数据构建显式有限元肌肉骨骼模拟。


肌肉骨骼建模使研究人员能够深入了解关节力学，而这可能无法通过体内或体外研究获得。常见的肌肉骨骼建模技术涉及刚体动力学软件，该软件通常采用简化的关节表示。这些表示已被证明是有用的，但在对感兴趣的结构进行单框架变形分析时受到限制。肌肉骨骼有限元 (MSFE) 分析可以足够详细地表示结构，以获得内部应力和应变的准确解，包括复杂的接触条件和材料表示。直接在有限元框架中执行肌肉力优化的研究通常在复杂性上受到限制，以最大限度地减少计算时间。肌肉力预测的计算效率和控制方案的最新进展使这些解决方案更加实用。然而，特定主题模拟的制定仍然是一个具有挑战性的问题。这项工作的目标是开发一个开源计算框架来构建和运行模拟，该框架（a）缩放 MSFE 模型的大小并有效地估计（b）关节运动学和（c）从收集的人体运动数据中的肌肉力典型的步态实验室。使用 MATLAB 和 Python 构建了一个计算框架来与模型输入和输出文件交互。该软件使用实验室标记数据来缩放模型段长度并估计关节运动学。根据估计的运动学和地面反作用力进行并行肌肉力和组织应变估计。该软件将提高单框架 MSFE 模拟的可用性和一致性。 SimTK 上免费提供软件和模板模型。新颖性声明

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  直接在有限元环境中进行单框架肌肉骨骼建模，用于肌肉力估计和组织应变分析。
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  手稿中使用的单侧肌肉骨骼有限元模型和软件的公开传播