Brain–Computer Interfaces (BCI) are systems that allow external devices to be controlled by means of brain activity. There are different such technologies, and electroencephalography (EEG) is an example. One of the most common EEG control methods is based on detecting changes in sensorimotor rhythms (SMRs) during motor imagery (MI). The aim of this study was to assess the laterality of cortical function when performing MI of the lower limb. Brain signals from five subjects were analyzed in two conditions, during exoskeleton-assisted gait and while static. Three different EEG electrode configurations were evaluated: covering both hemispheres, covering the non-dominant hemisphere and covering the dominant hemisphere. In addition, the evolution of performance and laterality with practice was assessed. Although sightly superior results were achieved with information from all electrodes, differences between electrode configurations were not statistically significant. Regarding the evolution during the experimental sessions, the performance of the BCI generally evolved positively the higher the experience was.

中文翻译：

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使用基于运动意象的 BCI 控制下肢外骨骼期间的大脑对称性分析

脑机接口 (BCI) 是允许通过大脑活动控制外部设备的系统。这种技术有很多种，脑电图（EEG）就是一个例子。最常见的脑电图控制方法之一是基于在运动想象 (MI) 期间检测感觉运动节律 (SMR) 的变化。本研究的目的是评估下肢 MI 时皮质功能的偏侧性。在外骨骼辅助步态和静态两种情况下，对来自五名受试者的脑信号进行了分析。评估了三种不同的 EEG 电极配置：覆盖两个半球、覆盖非优势半球和覆盖优势半球。此外，还评估了实践中的表现和偏向性的演变。尽管使用来自所有电极的信息获得了明显优越的结果，但电极配置之间的差异在统计上并不显着。关于实验过程中的演变，BCI 的表现通常随着经验的增加而积极发展。