脑电图
电极
计算机科学
可穿戴计算机
灵活性(工程)
石墨烯
电阻抗
接口(物质)
材料科学
人工智能
纳米技术
嵌入式系统
电气工程
工程类
化学
神经科学
心理学
气泡
并行计算
物理化学
最大气泡压力法
统计
数学
作者
Li Shao,Yunfei Guo,Wenjun Liu,Tai Sun,Dapeng Wei
标识
DOI:10.1088/2053-1591/ab20a7
摘要
In order to realistically collect Electroencephalogram (EEG) signals in complicated environments, low impedance and flexibility are considered as two crucial characteristics for EEG electrode. We designed and manufactured a type of dry EEG electrode based on graphene with matrix micro-pyramid structure on the surface. This EEG electrode could not only reduce the contact impedance, but also improve the stability of the electrode. Furthermore, based on these flexible graphene EEG electrodes, we assembled a system that could monitor human EEG signals in real time. When a tested person was answering the phone or driving while tired, the system could give him appropriate warnings, so as to reduce the occurrence of accidents. This brain-computer interface system was wearable and suitable for intelligent detection of EEG signals.
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