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用于楼梯上升辅助的人体工程学双四杆联动膝关节外骨骼

Ergonomic dual four-bar linkage knee exoskeleton for stair ascent assistance.

作者信息

Kittisares Sarin, Ide Tohru, Nabae Hiroyuki, Suzumori Koichi

机构信息

Suzumori Laboratory, Department of Mechanical Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.

出版信息

Front Robot AI. 2023 Dec 6;10:1285520. doi: 10.3389/frobt.2023.1285520. eCollection 2023.

Abstract

Robotic exoskeletons are emerging technologies that have demonstrated their effectiveness in assisting with Activities of Daily Living. However, kinematic disparities between human and robotic joints can result in misalignment between humans and exoskeletons, leading to discomfort and potential user injuries. In this paper, we present an ergonomic knee exoskeleton based on a dual four-bar linkage mechanism powered by hydraulic artificial muscles for stair ascent assistance. The device comprises two asymmetric four-bar linkage mechanisms on the medial and lateral sides to accommodate the internal rotation of the knee and address the kinematic discrepancies between these sides. A genetic algorithm was employed to optimize the parameters of the four-bar linkage mechanism to minimize misalignment between human and exoskeleton knee joints. The proposed device was evaluated through two experiments. The first experiment measured the reduction in undesired load due to misalignment, while the second experiment evaluated the device's effectiveness in assisting stair ascent in a healthy subject. The experimental results indicate that the proposed device has a significantly reduced undesired load compared to the traditional revolute joint, decreasing from 14.15 N and 18.32 N to 1.88 N and 1.07 N on the medial and lateral sides, respectively. Moreover, a substantial reduction in muscle activities during stair ascent was observed, with a 55.94% reduction in surface electromyography signal. The reduced undesired load of the proposed dual four-bar linkage mechanism highlights the importance of the adopted asymmetrical design for reduced misalignment and increased comfort. Moreover, the proposed device was effective at reducing the effort required during stair ascent.

摘要

机器人外骨骼是一种新兴技术,已证明其在协助日常生活活动方面的有效性。然而,人体关节和机器人关节之间的运动学差异可能导致人与外骨骼之间的不对齐,从而导致不适和潜在的用户受伤。在本文中,我们提出了一种基于双四杆连杆机构的人体工程学膝关节外骨骼,该机构由液压人工肌肉驱动,用于辅助上楼梯。该装置在内侧和外侧包括两个不对称的四杆连杆机构,以适应膝关节的内旋并解决两侧之间的运动学差异。采用遗传算法优化四杆连杆机构的参数,以尽量减少人体和外骨骼膝关节之间的不对齐。通过两个实验对所提出的装置进行了评估。第一个实验测量了由于不对齐导致的不必要负荷的减少,而第二个实验评估了该装置在健康受试者中辅助上楼梯的有效性。实验结果表明,与传统旋转关节相比,所提出的装置的不必要负荷显著降低,在内侧和外侧分别从14.15 N和18.32 N降至1.88 N和1.07 N。此外,观察到上楼梯过程中肌肉活动大幅减少,表面肌电图信号减少了55.94%。所提出的双四杆连杆机构减少的不必要负荷突出了所采用的不对称设计对于减少不对齐和提高舒适度的重要性。此外,所提出的装置在减少上楼梯所需的努力方面是有效的。

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