A Wearable Asynchronous Brain-Computer Interface Based on EEG-EOG Signals With Fewer Channels-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A Wearable Asynchronous Brain-Computer Interface Based on EEG-EOG Signals With Fewer Channels

Published:2024-02 Issue:2 Volume:71 Page:504-513
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Hu Li¹^ORCID,Zhu Junbiao¹,Chen Sicong¹,Zhou Yajun²^ORCID,Song Zhiqing¹,Li Yuanqing³^ORCID

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology, China

2. Guangzhou Key Laboratory of Brain Computer Interface and Applications (no. 15180006), China

3. School of Automation Science and Engineering, South China University of Technology, Guangzhou, China

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/10410108/10229161.pdf?arnumber=10229161

Reference43 articles.

1. Brain–computer interfaces for communication and control

2. Brain Computer Interfaces, a Review

3. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

4. Current Challenges for the Practical Application of Electroencephalography-Based Brain–Computer Interfaces

5. P300 speller BCI with a mobile EEG system: comparison to a traditional amplifier

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-scale self-attention approach for analysing motor imagery signals in brain-computer interfaces;Journal of Neuroscience Methods;2024-08

2. A brain functional network feature extraction method based on directed transfer function and graph theory for MI-BCI decoding tasks;Frontiers in Neuroscience;2024-03-21

3. A Portable and Wearable Visual Brain-Computer Interface for Assessing Patients With Disorders of Consciousness;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3