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Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

机译:人机交互:机器人辅助跑步机行走过程中机器人制导力会影响步态相关的大脑动力学吗?

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摘要

In order to determine optimal training parameters for robot-assisted treadmill walking, it is essential to understand how a robotic device interacts with its wearer, and thus, how parameter settings of the device affect locomotor control. The aim of this study was to assess the effect of different levels of guidance force during robot-assisted treadmill walking on cortical activity. Eighteen healthy subjects walked at 2 km.h-1 on a treadmill with and without assistance of the Lokomat robotic gait orthosis. Event-related spectral perturbations and changes in power spectral density were investigated during unassisted treadmill walking as well as during robot-assisted treadmill walking at 30%, 60% and 100% guidance force (with 0% body weight support). Clustering of independent components revealed three clusters of activity in the sensorimotor cortex during treadmill walking and robot-assisted treadmill walking in healthy subjects. These clusters demonstrated gait-related spectral modulations in the mu, beta and low gamma bands over the sensorimotor cortex related to specific phases of the gait cycle. Moreover, mu and beta rhythms were suppressed in the right primary sensory cortex during treadmill walking compared to robot-assisted treadmill walking with 100% guidance force, indicating significantly larger involvement of the sensorimotor area during treadmill walking compared to robot-assisted treadmill walking. Only marginal differences in the spectral power of the mu, beta and low gamma bands could be identified between robot-assisted treadmill walking with different levels of guidance force. From these results it can be concluded that a high level of guidance force (i.e., 100% guidance force) and thus a less active participation during locomotion should be avoided during robot-assisted treadmill walking. This will optimize the involvement of the sensorimotor cortex which is known to be crucial for motor learning.
机译:为了确定用于机器人辅助的跑步机行走的最佳训练参数,必须了解机器人设备如何与其佩戴者互动,以及因此,该设备的参数设置如何影响运动控制。这项研究的目的是评估机器人辅助跑步机行走过程中不同水平的引导力对皮层活动的影响。十八名健康受试者在有或没有Lokomat机器人步态矫形器的帮助下,在跑步机上以2 km.h -1 行走。在无辅助跑步机行走以及在30%,60%和100%引导力(支持0%体重)的机器人辅助跑步机行走过程中,研究了与事件相关的光谱摄动和功率谱密度的变化。独立组件的聚集揭示了健康受试者在跑步机行走和机器人辅助的跑步机行走过程中感觉运动皮层的三个活动簇。这些簇在与步态周期的特定阶段相关的感觉运动皮层的mu,beta和低γ波段表现出步态相关的光谱调制。此外,与使用100%引导力的机器人辅助跑步机行走相比,在跑步机行走期间右侧初级感觉皮层的mu和β节律得到抑制,这表明与机器人辅助跑步机行走相比,跑步机行走期间感觉运动区域的参与度显着增加。在具有不同引导力的机器人辅助跑步机行走之间,只能识别出μ,β和低γ谱带光谱功率的边际差异。从这些结果可以得出结论,应该避免在机器人辅助的跑步机行走过程中高水平的引导力(即100%的引导力),从而避免运动时主动参与程度降低。这将优化感觉运动皮层的参与,这对运动学习至关重要。

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