Wireless Wearable ElectroMyography Acquisition System Utilizing Reduced-Graphene-Oxide Based Sensor

L. Pham-Nguyen, Huy-Dung Han, Le-Lan Tran, Nhung Nguyen-Hong, L. Le
{"title":"Wireless Wearable ElectroMyography Acquisition System Utilizing Reduced-Graphene-Oxide Based Sensor","authors":"L. Pham-Nguyen, Huy-Dung Han, Le-Lan Tran, Nhung Nguyen-Hong, L. Le","doi":"10.1109/NICS54270.2021.9701512","DOIUrl":null,"url":null,"abstract":"In this work, a complete wireless wearable ElectroMyography (EMG) acquisition and analysis system, which employs reduced-graphene-oxide (rGO) coated-Nylon/Polyester-fabric sensors, is proposed. The electronic acquisition system is confirmed by comparing its measured EMG signal to the ones acquired by the commercial circuit Myoware. The measurements are carried out on bicep muscle and calf muscle. The results suggested that graphene-based smart fabrics can be used as a viable alternative to non-reusable Ag/AgCl electrodes for high-quality EMG monitoring. The proposed EMG data acquisition and analysis device is small and light-weight providing a smartclothes platform for convenient health tracking.","PeriodicalId":296963,"journal":{"name":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th NAFOSTED Conference on Information and Computer Science (NICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NICS54270.2021.9701512","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this work, a complete wireless wearable ElectroMyography (EMG) acquisition and analysis system, which employs reduced-graphene-oxide (rGO) coated-Nylon/Polyester-fabric sensors, is proposed. The electronic acquisition system is confirmed by comparing its measured EMG signal to the ones acquired by the commercial circuit Myoware. The measurements are carried out on bicep muscle and calf muscle. The results suggested that graphene-based smart fabrics can be used as a viable alternative to non-reusable Ag/AgCl electrodes for high-quality EMG monitoring. The proposed EMG data acquisition and analysis device is small and light-weight providing a smartclothes platform for convenient health tracking.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用还原氧化石墨烯传感器的无线可穿戴肌电采集系统
在这项工作中,提出了一个完整的无线可穿戴肌电(EMG)采集和分析系统,该系统采用还原氧化石墨烯(rGO)涂层尼龙/聚酯织物传感器。通过将测量到的肌电信号与商业电路myware采集到的肌电信号进行比较,对电子采集系统进行了验证。测量是在二头肌和小腿肌上进行的。结果表明,基于石墨烯的智能织物可以作为不可重复使用的Ag/AgCl电极的可行替代品,用于高质量的肌电监测。所提出的肌电数据采集和分析设备体积小,重量轻,为方便的健康跟踪提供了一个智能服装平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A novel adaptive neural controller for narrowband active noise control systems A Lightweight Model for Remote Sensing Image Retrieval with Knowledge Distillation and Mining Interclass Characteristics Keynote Talk #1 : Cryscanner: Finding Cryptographic Libraries Misuse FedChain: A Collaborative Framework for Building Artificial Intelligence Models using Blockchain and Federated Learning Exploring the Performances of Stacking Classifier in Predicting Patients Having Stroke
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1