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A new robotic platform for gait rehabilitation of bedridden stroke patients

机译:一种新的卧床康复患者步态康复的新机器人平台

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摘要

Robotic aided therapy has been developed in the last decades in order to improve the effects of gait rehabilitation on stroke patients. Although several platforms have nowadays used in clinical practice, contrasting results have been achieved with reduced significant improvements in stroke patients when they experience robotic based therapy. In particular, an improvement of the clinical outcome may be achieved by starting the rehabilitation process almost immediately after the stroke. To address this issue a new robotic system, called ldquoNEUROBikerdquo, has been developed. This approach is based on the hypothesis that a better recovery of the neuro-motor control of the leg could result from an early, intensive and task-oriented rehabilitation therapy. Therefore, the leg manipulation during the acute phase, following joint trajectories comparable with the ones obtained during natural walking, could improve the outcome of the rehabilitation. In this regard, desired trajectories of the end-effector of NEUROBike have been estimated in accordance with data collected from young and elderly people when walking on treadmill in a range of speeds from 0.5 to 1.3 m/s. Moreover, tracking performance of a traditional position control algorithm has been investigated. This paper is aimed at showing the first results obtained during the test of the platform. In the next months NEUROBike will be applied for the first clinical pilot studies.
机译:在过去的几十年里,机器人辅助疗法已经发展,以提高步态康复对中风患者的影响。虽然现在在临床实践中使用了几个平台,但是在体验基于机器人的治疗时,卒中患者的显着改善已经实现了对比结果。特别地,可以通过在中风后立即开始康复过程来实现临床结果的改善。为了解决这个问题,已经开发出一个名为Ldquoneurobikerdquo的新机器人系统。这种方法是基于该假设,即腿部的神经电机控制的更好恢复可能是由早期,密集的和任务为导向的康复治疗来引起的。因此,在与自然行走期间获得的联合轨迹相当的关节轨迹之后,急性期间的腿部操纵可以改善康复的结果。在这方面,根据从年轻人和老年人收集的数据在0.5至1.3米/秒的速度范围内的跑步机上行走时,根据从年轻人和老年人收集的数据估算了神经细胞的最终效应器的所需轨迹。此外,已经研究了传统位置控制算法的跟踪性能。本文旨在显示在平台测试期间获得的第一个结果。在接下来的几个月里,Neurobike将适用于第一个临床试验研究。

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