评估NeuroSky MindFlex脑电波耳机的脑电波数据

J. Katona, I. Farkas, T. Ujbanyi, P. Dukan, A. Kovari
{"title":"评估NeuroSky MindFlex脑电波耳机的脑电波数据","authors":"J. Katona, I. Farkas, T. Ujbanyi, P. Dukan, A. Kovari","doi":"10.1109/SAMI.2014.6822382","DOIUrl":null,"url":null,"abstract":"In human brain, either in the state of wakefulness or sleeping, different frequency changes are observable in the spectrum of measured electric signals of the brain. Regarding the frequency components of these signals that occur as a consequence of this electric activity, different brain waves can be distinguished. The electric impulse alternations that generated during the operation of neurons can be measured by the EEG (electroencephalograph) device. In the past, devices that could measure these brain signal alterations were mainly used in medicine. However, in the past few years cheaper and user friendly brainwave signal processing units have become available and the use of this technology has expanded. In this paper, the so-called Brain Computer Interface unit will be presented that was developed for further brain wave analysis and ensures the detection of brain waves. Moreover, an application for visualization and further procession of the measured and processed signals will also be described. The application can be used for EEG data acquisition, processing and visualization which could be the base of several further researches.","PeriodicalId":441172,"journal":{"name":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"59","resultStr":"{\"title\":\"Evaluation of the NeuroSky MindFlex EEG headset brain waves data\",\"authors\":\"J. Katona, I. Farkas, T. Ujbanyi, P. Dukan, A. Kovari\",\"doi\":\"10.1109/SAMI.2014.6822382\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In human brain, either in the state of wakefulness or sleeping, different frequency changes are observable in the spectrum of measured electric signals of the brain. Regarding the frequency components of these signals that occur as a consequence of this electric activity, different brain waves can be distinguished. The electric impulse alternations that generated during the operation of neurons can be measured by the EEG (electroencephalograph) device. In the past, devices that could measure these brain signal alterations were mainly used in medicine. However, in the past few years cheaper and user friendly brainwave signal processing units have become available and the use of this technology has expanded. In this paper, the so-called Brain Computer Interface unit will be presented that was developed for further brain wave analysis and ensures the detection of brain waves. Moreover, an application for visualization and further procession of the measured and processed signals will also be described. The application can be used for EEG data acquisition, processing and visualization which could be the base of several further researches.\",\"PeriodicalId\":441172,\"journal\":{\"name\":\"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"59\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAMI.2014.6822382\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAMI.2014.6822382","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 59

摘要

在人的大脑中,无论是在清醒状态还是睡眠状态,在测量的大脑电信号频谱中都可以观察到不同频率的变化。根据这些电信号的频率成分,可以区分不同的脑电波,这些信号是由这种电活动引起的。神经元活动过程中产生的电脉冲变化可以用脑电图仪来测量。过去,能够测量这些大脑信号变化的设备主要用于医学。然而,在过去的几年里,更便宜和用户友好的脑电波信号处理单元已经成为可能,这项技术的使用已经扩大。在本文中,将介绍所谓的脑机接口单元,该单元是为进一步的脑电波分析而开发的,并确保脑电波的检测。此外,还将描述测量和处理信号的可视化和进一步处理的应用。该应用程序可用于脑电图数据的采集、处理和可视化,为后续研究奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the NeuroSky MindFlex EEG headset brain waves data
In human brain, either in the state of wakefulness or sleeping, different frequency changes are observable in the spectrum of measured electric signals of the brain. Regarding the frequency components of these signals that occur as a consequence of this electric activity, different brain waves can be distinguished. The electric impulse alternations that generated during the operation of neurons can be measured by the EEG (electroencephalograph) device. In the past, devices that could measure these brain signal alterations were mainly used in medicine. However, in the past few years cheaper and user friendly brainwave signal processing units have become available and the use of this technology has expanded. In this paper, the so-called Brain Computer Interface unit will be presented that was developed for further brain wave analysis and ensures the detection of brain waves. Moreover, an application for visualization and further procession of the measured and processed signals will also be described. The application can be used for EEG data acquisition, processing and visualization which could be the base of several further researches.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
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:604180095
Book学术官方微信