机械臂BCI控制的视觉与动觉运动意象(Mercury 2.0)

G. Arfaras, A. Athanasiou, N. Pandria, K. R. Kavazidi, Panagiotis Kartsidis, A. Astaras, P. Bamidis
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引用次数: 8

摘要

运动想象(MI)是一种心理上的动作执行,被广泛应用于基于脑机接口(bci)的脑电图(EEG)控制模式。已经实施了不同的MI方法,即视觉观察(VMI)或运动的动觉排练(KMI)。虽然研究了VMI和KMI期间脑活动的差异,但尚未对其是否适合BCI应用进行调查。MI方法的选择可能会影响BCI控制期间的个人性能,特别是对于现成的BCI系统,其中易于使用和快速可靠的结果是目标。无论是用于健康个体还是临床应用,如果这些系统有望达到消费者成熟,则应调查其使用的最佳实践。我们设计了一项比较VMI和KMI作为现成EEG-BCI系统控制模式的研究。30名健康个体(18名男性,12名女性)参与了这项研究,使用Emotiv EPOC脑电图-脑机接口操作两个自制机械臂(Mercury 2.0)。他们被要求首先使用VMI,然后使用KMI来实现BCI控制,我们比较了训练和成功率。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,而VMI在BCI控制两个机械臂时获得了更高的成功率。然而,观察到的差异没有超过显著性阈值。个体差异可能在脑机接口表现中发挥重要作用,在选择使用脑机接口系统训练的方式时应考虑到个体差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Versus Kinesthetic Motor Imagery for BCI Control of Robotic Arms (Mercury 2.0)
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.
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