EEG data processing in ADHD diagnosis and neurofeedback

IF 0.7 Q3 ENGINEERING, MULTIDISCIPLINARY Engineering Review Pub Date : 2020-05-21 DOI:10.30765/er.40.3.12
Z. Šverko, S. Vlahinić, M. Vrankic, Ivan Markovinovic
{"title":"EEG data processing in ADHD diagnosis and neurofeedback","authors":"Z. Šverko, S. Vlahinić, M. Vrankic, Ivan Markovinovic","doi":"10.30765/er.40.3.12","DOIUrl":null,"url":null,"abstract":"In this paper, EEG data processing was conducted in order to define the parameters for neurofeedback. A new survey was conducted based on a brief review of previous research. Two groups of participants were chosen: ADHD (3) and nonADHD (14). The main part of this study includes EEG signal data pre-processing and processing. We have outlined statistical features of observed EEG signals such as mean value, grand-mean value and their ratios. It can be concluded that an increase in grand-mean values of power theta-low beta ratio on Cz electrode gives confirmation of previous research. The value of alpha-delta power ratio higher than 1 on C3, Cz, P3, Pz, P4 in ADHD group is proposed as a new approach to classification. Based on these conclusions we will design a neurofeedback protocol as a continuation of this work.","PeriodicalId":44022,"journal":{"name":"Engineering Review","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2020-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.30765/er.40.3.12","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30765/er.40.3.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, EEG data processing was conducted in order to define the parameters for neurofeedback. A new survey was conducted based on a brief review of previous research. Two groups of participants were chosen: ADHD (3) and nonADHD (14). The main part of this study includes EEG signal data pre-processing and processing. We have outlined statistical features of observed EEG signals such as mean value, grand-mean value and their ratios. It can be concluded that an increase in grand-mean values of power theta-low beta ratio on Cz electrode gives confirmation of previous research. The value of alpha-delta power ratio higher than 1 on C3, Cz, P3, Pz, P4 in ADHD group is proposed as a new approach to classification. Based on these conclusions we will design a neurofeedback protocol as a continuation of this work.
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
脑电数据处理在ADHD诊断和神经反馈中的应用
本文对脑电数据进行处理,确定神经反馈参数。在简要回顾以往研究的基础上进行了一项新的调查。选择了两组参与者:ADHD(3)和非ADHD(14)。本研究的主要内容包括脑电信号数据的预处理和处理。给出了脑电信号的均值、大均值及其比值等统计特征。可以得出结论,Cz电极上功率θ -低β比的大平均值的增加证实了前人的研究。提出ADHD组C3、Cz、P3、Pz、P4 α - δ功率比大于1的值作为新的分类方法。基于这些结论,我们将设计一个神经反馈方案作为这项工作的延续。
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
Engineering Review
Engineering Review ENGINEERING, MULTIDISCIPLINARY-
CiteScore
1.00
自引率
0.00%
发文量
8
期刊介绍: Engineering Review is an international journal designed to foster the exchange of ideas and transfer of knowledge between scientists and engineers involved in various engineering sciences that deal with investigations related to design, materials, technology, maintenance and manufacturing processes. It is not limited to the specific details of science and engineering but is instead devoted to a very wide range of subfields in the engineering sciences. It provides an appropriate resort for publishing the papers covering prior applications – based on the research topics comprising the entire engineering spectrum. Topics of particular interest thus include: mechanical engineering, naval architecture and marine engineering, fundamental engineering sciences, electrical engineering, computer sciences and civil engineering. Manuscripts addressing other issues may also be considered if they relate to engineering oriented subjects. The contributions, which may be analytical, numerical or experimental, should be of significance to the progress of mentioned topics. Papers that are merely illustrations of established principles or procedures generally will not be accepted. Occasionally, the magazine is ready to publish high-quality-selected papers from the conference after being renovated, expanded and written in accordance with the rules of the magazine. The high standard of excellence for any of published papers will be ensured by peer-review procedure. The journal takes into consideration only original scientific papers.
期刊最新文献
Derivation matrix in mechanics – data approach Enhancement of the behaviour of reinforced concrete dapped end beams including single-pocket loaded by a vertical concentrated force Contribution of the two rectifiers reconfiguration to fault tolerance connected to the grid network to feed the GMAW through processor-in-the-loop An adaptive neuro-fuzzy based on a fractional-order proportional integral derivative design for a two-legged robot with an improved swarm algorithm Thermal performance improvement of artificially roughened solar air heater
×
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