Ear-EEG Recording for Brain Computer Interface of Motor Task

Ear-EEG recording collects brain signals from electrodes placed in the ear canal. Compared with existing scalp-EEG, ear-EEG is more wearable and user-comfortable compared with existing scalp-EEG.In this dataset, we collected ear-EEG signals and the scalp-EEG signals when subjects were performing a left/right hand grasping motor task. We first validated the ear-EEG recordings by measuring the similarity of power ratio and channel correlation between ear-EEG and scalp-EEG signals. Then we applied EEG compact network (EEGNet) for classification of left/right-hand motor tasks using ear-EEG signals and scalp EEG signals separately. Our results showed motor task classification based on ear-EEG has a high potential for the practical BCI applications in motor task.

耳部脑电图记录通过置于耳道的电极收集大脑信号。相较于现有的头皮脑电图，耳部脑电图在穿戴舒适度及用户体验方面更具优势。在本数据集中，我们在受试者执行左右手抓握运动任务时，收集了耳部脑电图信号及头皮脑电图信号。首先，我们通过测量耳部脑电图与头皮脑电图信号之间功率比相似度和通道相关性的方法，对耳部脑电图记录进行了验证。随后，我们分别利用耳部脑电图信号和头皮脑电图信号，应用脑电图紧凑网络（EEGNet）对左右手运动任务进行分类。我们的研究结果表明，基于耳部脑电图的运动任务分类在实践中的脑机接口（BCI）运动任务应用中具有极高的潜力。