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迈向更有效的脑卒中康复机器人步态训练:综述。

Towards more effective robotic gait training for stroke rehabilitation: a review.

机构信息

Sensory-Motor Systems Lab, ETH Zürich, Zürich, Switzerland.

出版信息

J Neuroeng Rehabil. 2012 Sep 7;9:65. doi: 10.1186/1743-0003-9-65.

Abstract

BACKGROUND

Stroke is the most common cause of disability in the developed world and can severely degrade walking function. Robot-driven gait therapy can provide assistance to patients during training and offers a number of advantages over other forms of therapy. These potential benefits do not, however, seem to have been fully realised as of yet in clinical practice.

OBJECTIVES

This review determines ways in which robot-driven gait technology could be improved in order to achieve better outcomes in gait rehabilitation.

METHODS

The literature on gait impairments caused by stroke is reviewed, followed by research detailing the different pathways to recovery. The outcomes of clinical trials investigating robot-driven gait therapy are then examined. Finally, an analysis of the literature focused on the technical features of the robot-based devices is presented. This review thus combines both clinical and technical aspects in order to determine the routes by which robot-driven gait therapy could be further developed.

CONCLUSIONS

Active subject participation in robot-driven gait therapy is vital to many of the potential recovery pathways and is therefore an important feature of gait training. Higher levels of subject participation and challenge could be promoted through designs with a high emphasis on robotic transparency and sufficient degrees of freedom to allow other aspects of gait such as balance to be incorporated.

摘要

背景

在发达国家,中风是导致残疾的最常见原因,它会严重降低患者的行走功能。机器人驱动的步态康复疗法可以在训练过程中为患者提供辅助,并提供了许多优于其他治疗形式的优势。然而,这些潜在的好处在临床实践中似乎尚未得到充分实现。

目的

本综述旨在确定如何改进机器人驱动的步态技术,以在步态康复中取得更好的效果。

方法

回顾中风引起的步态障碍的文献,接着研究详细描述了不同的康复途径。然后检查了机器人驱动的步态康复治疗的临床试验结果。最后,对关注基于机器人设备的技术特征的文献进行了分析。因此,本综述结合了临床和技术方面,以确定机器人驱动的步态康复治疗的进一步发展途径。

结论

主动参与机器人驱动的步态康复治疗对于许多潜在的康复途径至关重要,因此是步态训练的一个重要特征。通过高度重视机器人透明度和足够自由度的设计,可以促进更高水平的患者参与度和挑战度,从而允许将平衡等其他步态方面纳入其中。

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