The surface electromyography (SEMG) based exoskeleton presents a new opportunity for human augmentation and rehabilitation. Developing an efficient exoskeleton in real-time is challenging as each individual's muscles and joint forces are unique. The aim of this research article is to analyze and evaluate the design of the lower limb exoskeleton during the squatting movement in a simulated environment to address problems concerning the development of a functional exoskeleton for an individual. An exoskeleton was designed in SolidWorks CAD software and imported into AnyBody Modelling Software (AMS). Thereafter, the performance of 3D designed exoskeleton was evaluated by placing various loads (0:5:25 kg) on both the shoulders of the human musculoskeletal. The results show the force in the knee muscles with the assistance of the exoskeleton were reduced significantly by 65.18–97.20% in the biceps femoris, 50.01–33.16% in the rectus femoris, 41.87–28.31% in the vastus lateralis, 42.25–28.78% in the vastus medialis, 7.28–22.91% in gluteus medius, and 22.54–13.13% in semitendinosus. The force in the knee joint was reduced by 44.04–31.43% as the load increases. Individual muscle force estimated from the SEMG signal and AMS during squatting was also compared for validation. The developed model helps in understanding the load effects on different muscles and provides useful information for the construction of an individual's optimized exoskeleton.

中文翻译：

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3D设计下肢外骨骼对不同负荷人体肌肉骨骼的评价

基于表面肌电图 (SEMG) 的外骨骼为人类增强和康复提供了新的机会。实时开发高效的外骨骼具有挑战性，因为每个人的肌肉和关节力量都是独一无二的。本研究文章的目的是分析和评估模拟环境下蹲运动过程中下肢外骨骼的设计，以解决有关个人功能性外骨骼开发的问题。外骨骼在 SolidWorks CAD 软件中设计并导入 AnyBody Modeling Software (AMS)。此后，通过在人类肌肉骨骼的双肩上放置各种负载（0:5:25 kg）来评估 3D 设计的外骨骼的性能。结果表明，在外骨骼的帮助下，膝关节肌肉的受力显着减少，股二头肌减少65.18-97.20%，股直肌减少50.01-33.16%，股外侧肌减少41.87-28.31%，42.285-28%。在股内侧肌中，臀中肌为 7.28-22.91%，半腱肌为 22.54-13.13%。随着负荷的增加，膝关节的受力减少了 44.04-31.43%。还比较了蹲下期间从 SEMG 信号和 AMS 估计的个体肌肉力量以进行验证。开发的模型有助于了解不同肌肉的负荷效应，并为构建个人优化的外骨骼提供有用的信息。股内侧肌为 78%，臀中肌为 7.28-22.91%，半腱肌为 22.54-13.13%。随着负荷的增加，膝关节的受力减少了 44.04-31.43%。还比较了蹲下期间从 SEMG 信号和 AMS 估计的个体肌肉力量以进行验证。开发的模型有助于了解不同肌肉的负荷效应，并为构建个人优化的外骨骼提供有用的信息。股内侧肌为 78%，臀中肌为 7.28-22.91%，半腱肌为 22.54-13.13%。随着负荷的增加，膝关节的受力减少了 44.04-31.43%。还比较了蹲下期间从 SEMG 信号和 AMS 估计的个体肌肉力量以进行验证。开发的模型有助于了解不同肌肉的负荷效应，并为构建个人优化的外骨骼提供有用的信息。