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使用机器人髋关节外骨骼行走时髋关节力矩模式不变。

Invariant hip moment pattern while walking with a robotic hip exoskeleton.

机构信息

Human Adaptation Laboratory, College of Health and Rehabilitation Sciences, Sargent College, Boston University, 635 Commonwealth Avenue, Boston, MA 02215, USA.

出版信息

J Biomech. 2011 Mar 15;44(5):789-93. doi: 10.1016/j.jbiomech.2011.01.030. Epub 2011 Feb 18.

Abstract

Robotic lower limb exoskeletons hold significant potential for gait assistance and rehabilitation; however, we have a limited understanding of how people adapt to walking with robotic devices. The purpose of this study was to test the hypothesis that people reduce net muscle moments about their joints when robotic assistance is provided. This reduction in muscle moment results in a total joint moment (muscle plus exoskeleton) that is the same as the moment without the robotic assistance despite potential differences in joint angles. To test this hypothesis, eight healthy subjects trained with the robotic hip exoskeleton while walking on a force-measuring treadmill. The exoskeleton provided hip flexion assistance from approximately 33% to 53% of the gait cycle. We calculated the root mean squared difference (RMSD) between the average of data from the last 15 min of the powered condition and the unpowered condition. After completing three 30-min training sessions, the hip exoskeleton provided 27% of the total peak hip flexion moment during gait. Despite this substantial contribution from the exoskeleton, subjects walked with a total hip moment pattern (muscle plus exoskeleton) that was almost identical and more similar to the unpowered condition than the hip angle pattern (hip moment RMSD 0.027, angle RMSD 0.134, p<0.001). The angle and moment RMSD were not different for the knee and ankle joints. These findings support the concept that people adopt walking patterns with similar joint moment patterns despite differences in hip joint angles for a given walking speed.

摘要

机器人下肢外骨骼在步态辅助和康复方面具有重要潜力;然而,我们对人们如何适应使用机器人设备行走的了解有限。本研究的目的是检验假设,即当提供机器人辅助时,人们会减少关节的净肌肉力矩。这种肌肉力矩的减少导致关节力矩(肌肉加外骨骼)与没有机器人辅助时相同,尽管关节角度可能存在差异。为了检验这一假设,8 名健康受试者在测力跑步机上行走时接受机器人髋关节外骨骼的训练。外骨骼在大约 33%到 53%的步态周期内提供髋关节屈曲辅助。我们计算了动力条件下最后 15 分钟平均数据与无动力条件下平均数据之间的均方根差(RMSD)。在完成三个 30 分钟的训练课程后,髋关节外骨骼在行走过程中提供了总髋关节屈曲峰值的 27%。尽管外骨骼有很大的贡献,但受试者的总髋关节力矩模式(肌肉加外骨骼)几乎与无动力条件相同,与髋关节角度模式相比更相似(髋关节力矩 RMSD 为 0.027,角度 RMSD 为 0.134,p<0.001)。膝关节和踝关节的角度和力矩 RMSD 没有差异。这些发现支持这样一种概念,即人们采用相似的关节力矩模式的行走模式,尽管在给定的行走速度下髋关节角度存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855a/3075111/422b1ca9d0b7/nihms270590f1.jpg

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