Evaluation of feature extraction methods for EEG-based brain–computer interfaces in terms of robustness to slight changes in electrode locations-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evaluation of feature extraction methods for EEG-based brain–computer interfaces in terms of robustness to slight changes in electrode locations

Published:2013-01-17 Issue:5 Volume:51 Page:571-579
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Park Sun-Ae,Hwang Han-Jeong,Lim Jeong-Hwan,Choi Jong-Ho,Jung Hyun-Kyo,Im Chang-Hwan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-012-1026-1.pdf

Reference38 articles.

1. Bayliss JD (2003) Use of the evoked potential P3 component for control in a virtual apartment. IEEE Trans Neural Syst Rehabil Eng 11:113–116

2. Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kubler A, Perelmouter J, Taub E, Flor H (1999) A spelling device for the paralysed. Nature 398:297–298

3. Blankertz B, Dornhege G, Krauledat M, Muller KR, Curio G (2007) The non-invasive Berlin brain–computer interface: fast acquisition of effective performance in untrained subjects. Neuroimage 37:539–550

4. Boostani R, Graimann B, Moradi MH, Pfurtscheller G (2007) A comparison approach toward finding the best feature and classifier in cue-based BCI. Med Biol Eng Comput 45:403–412

5. Brunner C, Scherer R, Graimann B, Supp G, Pfurtscheller G (2006) Online control of a brain–computer interface using phase synchronization. IEEE Trans Biomed Eng 53:2501–2506

Cited by 35 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. Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke;Journal of Visualized Experiments;2023-07-14

2. An Intelligent Motor Imagery Detection System Using Electroencephalography with Adaptive Wavelets;Sensors;2022-10-24

3. A comprehensive review of the movement imaginary brain-computer interface methods: Challenges and future directions;Artificial Intelligence-Based Brain-Computer Interface;2022

4. Influence of the Number of Channels and Classification Algorithm on the Performance Robustness to Electrode Shift in Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces;Frontiers in Neuroinformatics;2021-10-22

5. Performance Analysis and Comparison of Classification Algorithms for EEG-Based BCI System;Proceedings of Sixth International Congress on Information and Communication Technology;2021-09-10

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