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首页> 外文期刊>Journal of Biomechanics >Invariant ankle moment patterns when walking with and without a robotic ankle exoskeleton.
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Invariant ankle moment patterns when walking with and without a robotic ankle exoskeleton.

机译:在有或没有机器人脚踝外骨骼的情况下行走时,脚踝力矩模式不变。

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摘要

To guide development of robotic lower limb exoskeletons, it is necessary to understand how humans adapt to powered assistance. The purposes of this study were to quantify joint moments while healthy subjects adapted to a robotic ankle exoskeleton and to determine if the period of motor adaptation is dependent on the magnitude of robotic assistance. The pneumatically powered ankle exoskeleton provided plantar flexor torque controlled by the wearer's soleus electromyography (EMG). Eleven naive individuals completed two 30-min sessions walking on a split-belt instrumented treadmill at 1.25m/s while wearing the ankle exoskeleton. After two sessions of practice, subjects reduced their soleus EMG activation by approximately 36% and walked with total ankle moment patterns similar to their unassisted gait (r(2)=0.98+/-0.02, THSD, p>0.05). They had substantially different ankle kinematic patterns compared to their unassisted gait (r(2)=0.79+/-0.12, THSD, p<0.05). Not all of the subjects reached a steady-state gait pattern within the two sessions, in contrast to a previous study using a weaker robotic ankle exoskeleton (Gordon and Ferris, 2007). Our results strongly suggest that humans aim for similar joint moment patterns when walking with robotic assistance rather than similar kinematic patterns. In addition, greater robotic assistance provided during initial use results in a longer adaptation process than lesser robotic assistance.
机译:为了指导机器人下肢外骨骼的发展,有必要了解人类如何适应动力辅助。这项研究的目的是量化健康受试者适应机器人脚踝外骨骼时的关节力矩,并确定运动适应时间是否取决于机器人辅助的强度。气动的踝关节外骨骼提供了由穿戴者的比目鱼肌电描记法(EMG)控制的足底屈肌扭矩。 11名天真的人穿着脚踝外骨骼,以1.25m / s的速度在分体式皮带跑步机上完成了两个30分钟的锻炼。经过两次练习,受试者的比目鱼肌肌电图激活降低了约36%,并以类似于其无助步态的总踝力矩模式行走(r(2)= 0.98 +/- 0.02,THSD,p> 0.05)。与他们的无助步态相比,他们的脚踝运动模式明显不同(r(2)= 0.79 +/- 0.12,THSD,p <0.05)。与先前使用较弱的机器人脚踝外骨骼进行的研究相比,并非所有受试者在这两次训练中都达到了稳态步态模式(Gordon和Ferris,2007年)。我们的研究结果强烈表明,在机器人协助下行走时,人类的目标关节模式类似,而不是运动模式。另外,与较少的机器人辅助相比,在初次使用期间提供的更大的机器人辅助导致更长的适应过程。

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