Mahdian Zahra S, Wang Huawei, Refai Mohamed Irfan Mohamed, Durandau Guillaume, Sartori Massimo, MacLean Mhairi K
Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Department of Mechanical Engineering, McGill University, Montreal, QC, Canada.
J Appl Biomech. 2023 Sep 26;39(5):318-333. doi: 10.1123/jab.2023-0046. Print 2023 Oct 1.
Lower limb exoskeletons and exosuits ("exos") are traditionally designed with a strong focus on mechatronics and actuation, whereas the "human side" is often disregarded or minimally modeled. Muscle biomechanics principles and skeletal muscle response to robot-delivered loads should be incorporated in design/control of exos. In this narrative review, we summarize the advances in literature with respect to the fusion of muscle biomechanics and lower limb exoskeletons. We report methods to measure muscle biomechanics directly and indirectly and summarize the studies that have incorporated muscle measures for improved design and control of intuitive lower limb exos. Finally, we delve into articles that have studied how the human-exo interaction influences muscle biomechanics during locomotion. To support neurorehabilitation and facilitate everyday use of wearable assistive technologies, we believe that future studies should investigate and predict how exoskeleton assistance strategies would structurally remodel skeletal muscle over time. Real-time mapping of the neuromechanical origin and generation of muscle force resulting in joint torques should be combined with musculoskeletal models to address time-varying parameters such as adaptation to exos and fatigue. Development of smarter predictive controllers that steer rather than assist biological components could result in a synchronized human-machine system that optimizes the biological and electromechanical performance of the combined system.
传统上,下肢外骨骼和外穿式机械装置(“外骨骼”)的设计主要侧重于机电一体化和驱动,而“人体方面”往往被忽视或仅进行了最小化建模。肌肉生物力学原理以及骨骼肌对机器人施加负荷的反应应纳入外骨骼的设计/控制中。在这篇叙述性综述中,我们总结了关于肌肉生物力学与下肢外骨骼融合方面的文献进展。我们报告了直接和间接测量肌肉生物力学的方法,并总结了那些纳入肌肉测量以改进直观下肢外骨骼设计和控制的研究。最后,我们深入探讨了研究人体与外骨骼相互作用如何在运动过程中影响肌肉生物力学的文章。为了支持神经康复并促进可穿戴辅助技术的日常使用,我们认为未来的研究应该调查并预测外骨骼辅助策略如何随着时间在结构上重塑骨骼肌。应将导致关节扭矩的肌肉力量的神经力学起源和产生的实时映射与肌肉骨骼模型相结合,以解决诸如对外骨骼的适应和疲劳等时变参数。开发能够引导而非辅助生物组件的更智能预测控制器,可能会产生一个同步的人机系统,该系统可优化组合系统的生物和机电性能。