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Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation

机译:用于上肢冲程康复的经颅直流刺激和基于EEG的电动机图像BCI

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Clinical studies had shown that EEG-based motor imagery Brain-Computer Interface (MI-BCI) combined with robotic feedback is effective in upper limb stroke rehabilitation, and transcranial Direct Current Stimulation (tDCS) combined with other rehabilitation techniques further enhanced the facilitating effect of tDCS. This motivated the current clinical study to investigate the effects of combining tDCS with MI-BCI and robotic feedback compared to sham-tDCS for upper limb stroke rehabilitation. The stroke patients recruited were randomized to receive 20 minutes of tDCS or sham-tDCS prior to 10 sessions of 1-hour MI-BCI with robotic feedback for 2 weeks. The online accuracies of detecting motor imagery from idle condition were assessed and offline accuracies of classifying motor imagery from background rest condition were assessed from the EEG of the evaluation and therapy parts of the 10 rehabilitation sessions respectively. The results showed no evident differences between the online accuracies on the evaluation part from both groups, but the offline analysis on the therapy part yielded higher averaged accuracies for subjects who received tDCS (n=3) compared to sham-tDCS (n=2). The results suggest towards tDCS effect in modulating motor imagery in stroke, but a more conclusive result can be drawn when more data are collected in the ongoing study.
机译:临床研究表明,基于EEG的电动机图像脑 - 计算机接口(MI-BCI)与机器人反馈结合起来是对上肢中风康复的有效,并且经颅直流刺激(TDC)与其他康复技术相结合进一步增强了促进效果TDCS。这激发了目前的临床研究,研究了与上肢冲程康复的假期康复相比将TDC与MI-BCI和机器人反馈组合的影响。招聘的卒中患者随机患者在10小时MI-BCI的10个会话之前,在1小时的MI-BCI的10个课程中获得20分钟的TDC或假TDC。检测来自空转状态的电动机图像的在线准确性分别评估了从背景休息条件的分类电机图像的离线准确性分别评估了10个康复会议的评估和治疗部分的脑电图。结果表明,从两组的评估部分对在线准确性之间没有明显的差异,但与假语(n = 2)相比,治疗部分的离线分析产生了接受TDCS(n = 3)的受试者的平均准确性。结果表明TDC在冲程中调制电动机图像中的效果,但是当在正在进行的研究中收集更多数据时,可以绘制更多的结论结果。

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