Development of an ERD measurement system using Emotiv Epoc

Q4 Engineering
D. Takehara, H. Kayanuma, Miku Matsubara, Naoto Seki, Kenya Wada, Masaya Kurata, Y. Ono
{"title":"Development of an ERD measurement system using Emotiv Epoc","authors":"D. Takehara, H. Kayanuma, Miku Matsubara, Naoto Seki, Kenya Wada, Masaya Kurata, Y. Ono","doi":"10.11239/JSMBE.55ANNUAL.556","DOIUrl":null,"url":null,"abstract":"We developed a low-cost, event-related desynchronization (ERD) measurement system using consumer-grade EEG system (Emotiv Epoc) for application of motor-imagery (MI) related brain machine interface (BMI). We investigated accuracy of ERD power detection of Epoc by comparing the ERD power calculated from simultaneously recorded EEG via Epoc and medical-grade EEG system (g.USBamp: g.tec medical engineering). Eleven healthy participants performed MI of holding a rolling tennis ball and opening the grasped hand under the observation of hand movement video. The mean ERD power was comparable between Epoc and g. USBamp with both hand gestures tested. ERD detection accuracy of Epoc was 70.5% of the all trials tested. Considering the price of Epoc, our results suggest that Epoc could be a good substitute for medical-grade EEG systems for the purpose of MI-based BMI. Keyword: BMI, Emotiv, event-related desynchronization","PeriodicalId":39233,"journal":{"name":"Transactions of Japanese Society for Medical and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japanese Society for Medical and Biological Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11239/JSMBE.55ANNUAL.556","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 5

Abstract

We developed a low-cost, event-related desynchronization (ERD) measurement system using consumer-grade EEG system (Emotiv Epoc) for application of motor-imagery (MI) related brain machine interface (BMI). We investigated accuracy of ERD power detection of Epoc by comparing the ERD power calculated from simultaneously recorded EEG via Epoc and medical-grade EEG system (g.USBamp: g.tec medical engineering). Eleven healthy participants performed MI of holding a rolling tennis ball and opening the grasped hand under the observation of hand movement video. The mean ERD power was comparable between Epoc and g. USBamp with both hand gestures tested. ERD detection accuracy of Epoc was 70.5% of the all trials tested. Considering the price of Epoc, our results suggest that Epoc could be a good substitute for medical-grade EEG systems for the purpose of MI-based BMI. Keyword: BMI, Emotiv, event-related desynchronization
基于Emotiv Epoc的ERD测量系统开发
我们开发了一种低成本的、事件相关的去同步(ERD)测量系统,该系统使用消费级脑电图系统(Emotiv Epoc),用于运动图像(MI)相关的脑机接口(BMI)。通过比较Epoc与医用级EEG系统(g.USBamp: g.c ec medical engineering)同时记录的EEG计算的ERD功率,探讨Epoc ERD功率检测的准确性。11名健康参与者在观看手部运动视频的情况下,进行了手握滚动的网球并张开紧握的手的MI。在测试的两种手势中,Epoc和g. USBamp的平均ERD功率相当。epc的ERD检测准确率为70.5%。考虑到Epoc的价格,我们的研究结果表明,Epoc可能是医疗级脑电图系统的一个很好的替代品,用于基于mi的BMI。关键词:BMI, Emotiv,事件相关去同步
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 求助全文
来源期刊
CiteScore
0.10
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信