Cloud-based mobile platform for EEG signal analysis

Emir Džaferović, Sabahudin Vrtagic, Lejla Bandic, Jasmin Kevric, A. Subasi, S. Qaisar
{"title":"Cloud-based mobile platform for EEG signal analysis","authors":"Emir Džaferović, Sabahudin Vrtagic, Lejla Bandic, Jasmin Kevric, A. Subasi, S. Qaisar","doi":"10.1109/ICEDSA.2016.7818497","DOIUrl":null,"url":null,"abstract":"It is estimated that there are millions of people with epilepsy around the world. Seizure detection and prediction systems are built to improve lifestyle of patients. Closed-loop systems are designed to predict and detect seizures and inform patient and caretakers. Ideally, wireless technologies are used in order not to interfere with patient's life. We build a prototype for closed-loop systems consisting of Mind Wave EEG capturing device and Android application communicating via Bluetooth. The application can store signals locally or send them to cloud and then process them for different applications such as BCI, Neurofeedback, epileptic seizure prediction, etc.","PeriodicalId":247318,"journal":{"name":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEDSA.2016.7818497","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

It is estimated that there are millions of people with epilepsy around the world. Seizure detection and prediction systems are built to improve lifestyle of patients. Closed-loop systems are designed to predict and detect seizures and inform patient and caretakers. Ideally, wireless technologies are used in order not to interfere with patient's life. We build a prototype for closed-loop systems consisting of Mind Wave EEG capturing device and Android application communicating via Bluetooth. The application can store signals locally or send them to cloud and then process them for different applications such as BCI, Neurofeedback, epileptic seizure prediction, etc.
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
基于云的脑电信号分析移动平台
据估计,全世界有数百万癫痫患者。癫痫检测和预测系统的建立是为了改善患者的生活方式。闭环系统旨在预测和检测癫痫发作,并通知患者和护理人员。理想情况下,使用无线技术是为了不干扰病人的生活。我们构建了一个由脑电波捕获设备和Android应用程序通过蓝牙通信组成的闭环系统原型。该应用程序可以将信号存储在本地或发送到云端,然后处理它们用于不同的应用程序,如脑机接口、神经反馈、癫痫发作预测等。
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
Noise robust speech recognition using parallel model compensation and voice activity detection methods Analysis and design of MIMO antenna for UWB applications based on the super-formula A comparative study up to 1024 bit Euclid's GCD algorithm FPGA implementation and synthesizing On-line measurement of biomass using colloid dielectric probe and open-ended cell. Determination of the aggregation threshold Classification of ECG signals of normal and abnormal subjects using common spatial pattern
×
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