L. Shao, Yunfei Guo, Wenjun Liu, Tai Sun, Dapeng Wei
{"title":"A flexible dry electroencephalogram electrode based on graphene materials","authors":"L. Shao, Yunfei Guo, Wenjun Liu, Tai Sun, Dapeng Wei","doi":"10.1088/2053-1591/ab20a7","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":18530,"journal":{"name":"Materials Research Express","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2019-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1088/2053-1591/ab20a7","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Research Express","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/2053-1591/ab20a7","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 9
Abstract
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.
期刊介绍:
A broad, rapid peer-review journal publishing new experimental and theoretical research on the design, fabrication, properties and applications of all classes of materials.