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借助机器人脚踝外骨骼学习行走。

Learning to walk with a robotic ankle exoskeleton.

作者信息

Gordon Keith E, Ferris Daniel P

机构信息

Division of Kinesiology, University of Michigan, 401 Washtenaw Avenue, Ann Arbor, MI 48109-2214, USA.

出版信息

J Biomech. 2007;40(12):2636-44. doi: 10.1016/j.jbiomech.2006.12.006. Epub 2007 Feb 2.

Abstract

We used a lower limb robotic exoskeleton controlled by the wearer's muscle activity to study human locomotor adaptation to disrupted muscular coordination. Ten healthy subjects walked while wearing a pneumatically powered ankle exoskeleton on one limb that effectively increased plantar flexor strength of the soleus muscle. Soleus electromyography amplitude controlled plantar flexion assistance from the exoskeleton in real time. We hypothesized that subjects' gait kinematics would be initially distorted by the added exoskeleton power, but that subjects would reduce soleus muscle recruitment with practice to return to gait kinematics more similar to normal. We also examined the ability of subjects to recall their adapted motor pattern for exoskeleton walking by testing subjects on two separate sessions, 3 days apart. The mechanical power added by the exoskeleton greatly perturbed ankle joint movements at first, causing subjects to walk with significantly increased plantar flexion during stance. With practice, subjects reduced soleus recruitment by approximately 35% and learned to use the exoskeleton to perform almost exclusively positive work about the ankle. Subjects demonstrated the ability to retain the adapted locomotor pattern between testing sessions as evidenced by similar muscle activity, kinematic and kinetic patterns between the end of the first test day and the beginning of the second. These results demonstrate that robotic exoskeletons controlled by muscle activity could be useful tools for testing neural mechanisms of human locomotor adaptation.

摘要

我们使用了一种由穿戴者肌肉活动控制的下肢机器人外骨骼,来研究人类运动对肌肉协调性破坏的适应情况。十名健康受试者在单下肢穿戴气动踝关节外骨骼行走,该外骨骼有效增强了比目鱼肌的跖屈力量。比目鱼肌肌电图幅度实时控制外骨骼的跖屈辅助。我们假设,受试者的步态运动学最初会因外骨骼增加的力量而扭曲,但随着练习,受试者会减少比目鱼肌的募集,以恢复到更接近正常的步态运动学。我们还通过在相隔3天的两个不同时间段对受试者进行测试,来检验他们回忆外骨骼行走适应运动模式的能力。起初,外骨骼增加的机械功率极大地干扰了踝关节运动,导致受试者在站立期行走时跖屈显著增加。通过练习,受试者将比目鱼肌的募集减少了约35%,并学会利用外骨骼几乎完全在踝关节上进行正向做功。受试者表现出在测试时间段之间保持适应运动模式的能力,第一次测试日结束时和第二次测试开始时相似的肌肉活动、运动学和动力学模式证明了这一点。这些结果表明,由肌肉活动控制的机器人外骨骼可能是测试人类运动适应神经机制的有用工具。

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