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模块化踝关节机器人在脑卒中康复中的临床应用。

Clinical application of a modular ankle robot for stroke rehabilitation.

机构信息

VA RR&D Maryland Exercise and Robotics Center of Excellence, Baltimore,MD 21201, USA.

出版信息

NeuroRehabilitation. 2013;33(1):85-97. doi: 10.3233/NRE-130931.

Abstract

BACKGROUND

Advances in our understanding of neuroplasticity and motor learning post-stroke are now being leveraged with the use of robotics technology to enhance physical rehabilitation strategies. Major advances have been made with upper extremity robotics, which have been tested for efficacy in multi-site trials across the subacute and chronic phases of stroke. In contrast, use of lower extremity robotics to promote locomotor re-learning has been more recent and presents unique challenges by virtue of the complex multi-segmental mechanics of gait.

OBJECTIVES

Here we review a programmatic effort to develop and apply the concept of joint-specific modular robotics to the paretic ankle as a means to improve underlying impairments in distal motor control that may have a significant impact on gait biomechanics and balance.

METHODS

An impedance controlled ankle robot module (anklebot) is described as a platform to test the idea that a modular approach can be used to modify training and measure the time profile of treatment response.

RESULTS

Pilot studies using seated visuomotor anklebot training with chronic patients are reviewed, along with results from initial efforts to evaluate the anklebot's utility as a clinical tool for assessing intrinsic ankle stiffness. The review includes a brief discussion of future directions for using the seated anklebot training in the earliest phases of sub-acute therapy, and to incorporate neurophysiological measures of cerebro-cortical activity as a means to reveal underlying mechanistic processes of motor learning and brain plasticity associated with robotic training.

CONCLUSIONS

Finally we conclude with an initial control systems strategy for utilizing the anklebot as a gait training tool that includes integrating an Internal Model-based adaptive controller to both accommodate individual deficit severities and adapt to changes in patient performance.

摘要

背景

神经可塑性和脑卒中后运动学习的研究进展,现在正通过机器人技术的应用来增强物理康复策略。在上肢机器人技术方面取得了重大进展,已经在亚急性和慢性脑卒中阶段的多地点试验中对其疗效进行了测试。相比之下,使用下肢机器人来促进运动再学习的时间较晚,由于步态的复杂多节段力学特性,因此存在独特的挑战。

目的

我们在这里回顾了一项有计划的努力,即将关节特异性模块化机器人的概念应用于瘫痪的踝关节,以改善远端运动控制的潜在障碍,这可能对步态生物力学和平衡产生重大影响。

方法

描述了一种阻抗控制的踝关节机器人模块(anklebot),作为一种平台来测试这样一种想法,即模块化方法可以用于修改训练并测量治疗反应的时间过程。

结果

回顾了使用慢性患者进行坐姿视觉踝关节机器人训练的初步研究结果,以及评估踝关节机器人作为评估内在踝关节刚度的临床工具的初步努力的结果。综述包括简要讨论了在亚急性治疗的最早阶段使用坐姿踝关节机器人训练的未来方向,并将脑皮质活动的神经生理测量作为揭示与机器人训练相关的运动学习和大脑可塑性的潜在机制过程的一种手段。

结论

最后,我们得出了一个初步的控制系统策略,即利用 anklebot 作为步态训练工具,包括整合基于内部模型的自适应控制器,以适应个体缺陷的严重程度,并适应患者表现的变化。

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