Soleymanpour Rahim, Patel Charmi, Kim Insoo
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:2016-2019. doi: 10.1109/EMBC.2018.8512712.
Electroencephalography (EEG) based brain computer interfaces (BCI) introduces promising communication pathway between the brain and external devices, not only for the motor-impaired but also the healthy users. However, the current EEG-based interface device is not convenient enough for daily uses. In this study, we developed an EEG acquisition system that records brain signals without contacting scalp. The proposed system consists of a small sized ($5.5,\times 3,\mathrm{cm}^{2}$ acquisition hardware and four stainless steel electrodes integrated in a regular sport hat. To demonstrate the concept, we used an in-house developed steady-state visual evoked potentials (SSVEP) paradigm and recorded EEG signals using the proposed system. The EEG signals were compared with three different brain states - Eye Closed, Eye Open, and Visual Stimulation. The results show that the BCI system can record SSVEP from the brain without any professional setups or expensive dry-electrodes.
基于脑电图（EEG）的脑机接口（BCI）为大脑与外部设备之间引入了一条充满前景的通信途径，不仅适用于运动功能受损者，也适用于健康用户。然而，当前基于EEG的接口设备在日常使用中还不够便捷。在本研究中，我们开发了一种无需接触头皮即可记录脑信号的EEG采集系统。该系统由一个小型（5.5×3平方厘米）采集硬件和集成在普通运动帽中的四个不锈钢电极组成。为了验证这一概念，我们使用了自行开发的稳态视觉诱发电位（SSVEP）范式，并使用该系统记录EEG信号。将这些EEG信号与三种不同的脑状态——闭眼、睁眼和视觉刺激进行了比较。结果表明，该BCI系统无需任何专业设置或昂贵的干电极即可从大脑记录SSVEP。
