Chambers Vaughn, Artemiadis Panagiotis
Human-Oriented Robotics and Control Laboratory, University of Delaware, Department of Mechanical Engineering, University of Delaware, Newark, DE, United States.
Front Robot AI. 2023 Jan 4;9:1073746. doi: 10.3389/frobt.2022.1073746. eCollection 2022.
Stroke is a major global issue, affecting millions every year. When a stroke occurs, survivors are often left with physical disabilities or difficulties, frequently marked by abnormal gait. Post-stroke gait normally presents as one of or a combination of unilaterally shortened step length, decreased dorsiflexion during swing phase, and decreased walking speed. These factors lead to an increased chance of falling and an overall decrease in quality of life due to a reduced ability to locomote quickly and safely under one's own power. Many current rehabilitation techniques fail to show lasting results that suggest the potential for producing permanent changes. As technology has advanced, robot-assisted rehabilitation appears to have a distinct advantage, as the precision and repeatability of such an intervention are not matched by conventional human-administered therapy. The possible role in gait rehabilitation of the Variable Stiffness Treadmill (VST), a unique, robotic treadmill, is further investigated in this paper. The VST is a split-belt treadmill that can reduce the vertical stiffness of one of the belts, while the other belt remains rigid. In this work, we show that the repeated unilateral stiffness perturbations created by this device elicit an aftereffect of increased step length that is seen for over 575 gait cycles with healthy subjects after a single 10-min intervention. These long aftereffects are currently unmatched in the literature according to our knowledge. This step length increase is accompanied by kinematics and muscle activity aftereffects that help explain functional changes and have their own independent value when considering the characteristics of post-stroke gait. These results suggest that repeated unilateral stiffness perturbations could possibly be a useful form of post-stroke gait rehabilitation.
中风是一个重大的全球性问题,每年影响数百万人。中风发生后,幸存者往往会留下身体残疾或功能障碍,通常表现为异常步态。中风后的步态通常表现为单侧步长缩短、摆动期背屈减少和步行速度降低中的一种或多种。这些因素导致跌倒几率增加,并且由于自身快速安全移动能力下降,生活质量总体下降。许多当前的康复技术未能显示出持久的效果,这表明产生永久性变化的潜力有限。随着技术的进步,机器人辅助康复似乎具有明显优势,因为这种干预的精确性和可重复性是传统人工治疗所无法比拟的。本文进一步研究了一种独特的机器人跑步机——可变刚度跑步机(VST)在步态康复中的潜在作用。VST是一种分体式跑步机,它可以降低其中一条皮带的垂直刚度,而另一条皮带保持刚性。在这项研究中,我们发现该设备产生的重复单侧刚度扰动会引发步长增加的后效应,在对健康受试者进行单次10分钟干预后,这种后效应在超过575个步态周期中都能观察到。据我们所知,这些长期的后效应在目前的文献中尚无先例。步长增加伴随着运动学和肌肉活动的后效应,这有助于解释功能变化,并且在考虑中风后步态特征时具有独立的价值。这些结果表明,重复单侧刚度扰动可能是中风后步态康复的一种有效形式。