Nitrogen‐Doped Multilayer Graphene Microtubes for High‐Density Recording of Occipital EEG Signals

Author:

Zhang Chengcheng1,Li Mingji1ORCID,Xuan Xiuwei1,Zhou Baozeng1,Li Penghai1,Li Hongji2

Affiliation:

1. Tianjin Key Laboratory of Film Electronic and Communication Devices Engineering Research Center of Optoelectronic Devices & Communication Technology (Ministry of Education) School of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin 300384 P. R. China

2. Tianjin Key Laboratory of Organic Solar Cells and Photochemical Conversion Tianjin Key Laboratory of Drug Targeting and Bioimaging School of Chemistry and Chemical Engineering Tianjin University of Technology Tianjin 300384 P. R. China

Abstract

AbstractGraphene microelectrodes exhibit potential in recording high‐density electroencephalography (EEG) signals from various brain regions. In this study, microtubes composed of nitrogen‐doped graphene (NG) nanosheets are synthesized by chemical vapor deposition to record high‐density EEG signals. The N‐content of the NG samples ranges from 1.35 to 2.22 at.%. One of the fabricated microtubes with an N‐content of 2.22% exhibits low scalp‐contact resistance and high signal‐to‐noise ratio (SNR) of EEG signals. The NG‐microtube has the advantages of high water‐retention, scalp affinity, water absorption, salt interception, and low resistance; these advantages reduce the scalp‐contact resistance and improve the response of EEG signals. Furthermore, an occipital 24‐lead EEG sensor with 72 optimized NG microtubes is assembled to record spontaneous and visually evoked EEG signals. Untrained volunteers are asked to wear the NG‐EEG sensor, and thus, spontaneous EEG with a high SNR and visually evoked EEG signals with an interval of 0.1 Hz are obtained easily. The occipital NG‐based EEG sensor is convenient to wear and can identify high‐density EEG signals. Therefore, the EEG sensor is not only suitable for the peripheral fine control of motion imagination but also used in the clinical diagnosis of functional disorders in various brain regions, promoting the development of healthcare electronics.

Funder

Natural Science Foundation of Tianjin City

National Natural Science Foundation of China

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3