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Visual Versus Kinesthetic Motor Imagery for BCI Control of Robotic Arms (Mercury 2.0)

机译:视觉对动觉运动图像的机器人手臂BCI控制(Mercury 2.0)

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Motor Imagery (MI), the mental execution of an action, is widely applied as a control modality for electroencephalography (EEG) based Brain-Computer Interfaces (BCIs). Different approaches to MI have been implemented, namely visual observation (VMI) or kinesthetic rehearsal (KMI) of movements. Although differences in brain activity during VMI or KMI have been studied, no investigation with regards to their suitability for BCI applications has been made. The choice of MI approach could affect individual performance during BCI control, especially for off-the-shelf BCI systems, where ease of use and fast reliable results is the target. Whether for healthy individuals or clinical applications, if such systems are expected to reach consumer maturity, best practices for their use should be investigated. We designed a study to compare VMI and KMI as control modalities of an off-the-shelf EEG-BCI system. 30 healthy individuals (18 male, 12 female) participated in the study, operating two house-developed robotic arms (Mercury 2.0) using an Emotiv EPOC EEG-BCI. They were asked to use first VMI and then KMI to achieve BCI control and we compared the training and success rates. In our study, KMI achieved higher skill percentages during imagery training but VMI achieved higher success rates during BCI control of both robotic arms. Nonetheless, observed differences did not exceed significance thresholds. Individual differences could play a major role in MI performance and should be taken into account when choosing which modality to train for the use of a BCI system.
机译:运动图像(MI)是一种动作的心理执行方式,被广泛用作基于脑电图(EEG)的脑机接口(BCI)的控制方式。已经采用了多种方法来解决MI,即运动的视觉观察(VMI)或运动感觉演练(KMI)。尽管已经研究了VMI或KMI期间大脑活动的差异,但尚未进行关于它们是否适合BCI应用的调查。 MI方法的选择可能会影响BCI控制期间的个人性能,特别是对于以易于使用和快速可靠的结果为目标的现成BCI系统。无论是对于健康个体还是临床应用,如果此类系统有望达到消费者成熟度,则应研究其使用的最佳实践。我们设计了一项研究,以比较VMI和KMI作为现成EEG-BCI系统的控制方式。 30名健康个体(18名男性,12名女性)参加了研究,使用Emotiv EPOC EEG-BCI操作了两个自制的机械臂(Mercury 2.0)。他们被要求先使用VMI,然后再使用KMI来实现BCI控制,我们比较了培训和成功率。在我们的研究中,KMI在图像训练中获得了更高的技能百分比,但是VMI在两个机器人手臂的BCI控制期间都获得了更高的成功率。但是,观察到的差异未超过显着性阈值。个体差异可能在MI表现中起主要作用,在选择使用BCI系统进行训练的方式时应考虑个体差异。

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