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Assessment of applicability of robotic walker for post-stroke hemiparetic individuals through muscle pattern analysis

机译:通过肌肉模式分析评估机器人助行器在中风后偏瘫患者中的适用性

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Stroke is a leading cause of morbidity and mortality worldwide. In most patients, the stroke causes disabilities that hamper the performance of daily tasks autonomously. The most common clinical features in these individuals are hemiparesis, abnormal gait pattern, muscle spasticity and balance loss. There are several studies about the use of robotic devices in hemiparetic individuals, for example for rehabilitation. The robotic walker developed at UFES/Brazil will be assessed for its applicability, using Surface Electromyography (sEMG) to verify the muscle activation during the gait in individuals with post-stroke hemi-paresis. Preliminary tests are being made with the proposed methodology to analyse the robotic walker, but first using a conventional walker two frontal wheels as assistant gait. Two healthy volunteers performed initially a path without the aid of the walker and then with its aid along a flat straight route. sEMG signals are analyzed in order to assess the muscle activity during the gait. After analyzing the data, the results were compared between the free and assisted gait. With the use of the walker the gait speed in healthy volunteers was reduced and, consequently, changes occurred during activation of the muscles. Changes caused by shifting down are important due to improper adjustment of the height of the walker leads to gait changes. As future work, we intend assess the use of robotic walker in clinical trials.
机译:中风是全球发病率和死亡率的主要原因。在大多数患者中,中风会导致残疾,从而自动妨碍日常任务的执行。这些个体中最常见的临床特征是偏瘫,步态异常,肌肉痉挛和平衡丧失。关于在偏瘫患者中使用机器人设备进行康复等方面的研究已有很多。在UFES /巴西开发的机器人助行器将通过表面肌电图(sEMG)验证其适用性,以验证中风后偏瘫的步态患者的肌肉激活情况。正在使用所提出的方法对机器人助行器进行初步测试,但首先使用常规助行器,将两个前轮用作步态。两名健康志愿者最初在没有助行器帮助的情况下执行了一条小路,然后在平坦助行器的帮助下进行了小路运动。分析sEMG信号以评估步态期间的肌肉活动。在分析数据之后,比较了自由步态和辅助步态的结果。随着步行者的使用,健康志愿者的步态速度降低,因此,在肌肉激活过程中发生了变化。下移引起的变化很重要,这是因为对步行器的高度调整不当会导致步态变化。作为未来的工作,我们打算评估机器人助行器在临床试验中的使用。

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