利用基于TDCS的阳极和阴极神经反馈检测调制运动皮层

Zarif Ahmed Chowdhury, Dewan Nahidul Alam, Md. Abu Fattah Hossain Bhuiyan Nahid, Md Anisur Rahman, M. Parvez
{"title":"利用基于TDCS的阳极和阴极神经反馈检测调制运动皮层","authors":"Zarif Ahmed Chowdhury, Dewan Nahidul Alam, Md. Abu Fattah Hossain Bhuiyan Nahid, Md Anisur Rahman, M. Parvez","doi":"10.1109/ICMLC51923.2020.9469038","DOIUrl":null,"url":null,"abstract":"Over the centuries, human aimed to achieve the ability to understand the inner functions of the mind and brain. One of the techniques to understand such functions is the application of neurofeedback. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing self-regulation of brain activities. Several techniques have been used in the application of neurofeedback to improve different kinds of brain-related conditions including attention capacity and other disabilities. However, literature shows that there are still chances of further improvement in this field, since neurofeedback often causes complications anxiety, discontent and discomfort. Therefore in this paper, we proposed a method to detect modulated motor cortex using anodal and cathodal tDCS based neurofeedback to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal using Electroencephalography(EEG) based neurofeedback data for twenty subjects. The accuracy of our proposed method is better than three other existing techniques on neurofeedback application. The experimental results demonstrate that our proposed method is suitable in the application of neurofeedback.","PeriodicalId":170815,"journal":{"name":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback\",\"authors\":\"Zarif Ahmed Chowdhury, Dewan Nahidul Alam, Md. Abu Fattah Hossain Bhuiyan Nahid, Md Anisur Rahman, M. Parvez\",\"doi\":\"10.1109/ICMLC51923.2020.9469038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the centuries, human aimed to achieve the ability to understand the inner functions of the mind and brain. One of the techniques to understand such functions is the application of neurofeedback. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing self-regulation of brain activities. Several techniques have been used in the application of neurofeedback to improve different kinds of brain-related conditions including attention capacity and other disabilities. However, literature shows that there are still chances of further improvement in this field, since neurofeedback often causes complications anxiety, discontent and discomfort. Therefore in this paper, we proposed a method to detect modulated motor cortex using anodal and cathodal tDCS based neurofeedback to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal using Electroencephalography(EEG) based neurofeedback data for twenty subjects. The accuracy of our proposed method is better than three other existing techniques on neurofeedback application. The experimental results demonstrate that our proposed method is suitable in the application of neurofeedback.\",\"PeriodicalId\":170815,\"journal\":{\"name\":\"2020 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Machine Learning and Cybernetics (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC51923.2020.9469038\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC51923.2020.9469038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

几个世纪以来,人类的目标是获得理解心灵和大脑内部功能的能力。理解这些功能的技术之一是应用神经反馈。神经反馈是通过允许大脑活动的自我调节而对大脑生理状况产生影响的过程。在神经反馈的应用中,已经使用了几种技术来改善不同类型的大脑相关疾病,包括注意力和其他残疾。然而,文献表明,在这一领域仍有进一步改善的机会,因为神经反馈经常导致并发症焦虑,不满和不适。因此,本文提出了一种基于tDCS的神经反馈检测调制运动皮层的方法,以获得更好的神经反馈应用效果。采用基于脑电图(EEG)的神经反馈数据,该方法对20名受试者的正确率均达到98.67%。在神经反馈的应用上,我们提出的方法的准确性优于其他三种现有的技术。实验结果表明,该方法适用于神经反馈的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Detection of Modulated Motor Cortex using Anodal and Cathodal TDCS based Neurofeedback
Over the centuries, human aimed to achieve the ability to understand the inner functions of the mind and brain. One of the techniques to understand such functions is the application of neurofeedback. Neurofeedback is the procedure which has an influence on physiological brain conditions that takes place by allowing self-regulation of brain activities. Several techniques have been used in the application of neurofeedback to improve different kinds of brain-related conditions including attention capacity and other disabilities. However, literature shows that there are still chances of further improvement in this field, since neurofeedback often causes complications anxiety, discontent and discomfort. Therefore in this paper, we proposed a method to detect modulated motor cortex using anodal and cathodal tDCS based neurofeedback to achieve a better result in the application of neurofeedback. The proposed method showed a higher percentage of accuracy (98.67%) for both anodal and cathodal using Electroencephalography(EEG) based neurofeedback data for twenty subjects. The accuracy of our proposed method is better than three other existing techniques on neurofeedback application. The experimental results demonstrate that our proposed method is suitable in the application of neurofeedback.
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
期刊最新文献
Behavioral Decision Makings: Reconciling Behavioral Economics and Decision Systems Operating System Classification: A Minimalist Approach Research on Hotspot Mining Method of Twitter News Report Based on LDA and Sentiment Analysis Conservative Generalisation for Small Data Analytics –An Extended Lattice Machine Approach ICMLC 2020 Cover Page
×
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