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本文引用的文献

1
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks.利用卷积神经网络学习脑机接口的时间信息。
IEEE Trans Neural Netw Learn Syst. 2018 Nov;29(11):5619-5629. doi: 10.1109/TNNLS.2018.2789927. Epub 2018 Mar 9.
2
Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.用于中风后运动康复的脑机接口：一项荟萃分析。
Ann Clin Transl Neurol. 2018 Mar 25;5(5):651-663. doi: 10.1002/acn3.544. eCollection 2018 May.
3
A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.基于 EEG 的脑机接口分类算法综述：10 年更新。
J Neural Eng. 2018 Jun;15(3):031005. doi: 10.1088/1741-2552/aab2f2. Epub 2018 Feb 28.
4
Brain-Computer Interfaces for Augmentative and Alternative Communication: A Tutorial.脑机接口在辅助和替代沟通中的应用：教程。
Am J Speech Lang Pathol. 2018 Feb 6;27(1):1-12. doi: 10.1044/2017_AJSLP-16-0244.
5
Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.迁移学习：一种具有脑机接口应用的黎曼几何框架。
IEEE Trans Biomed Eng. 2018 May;65(5):1107-1116. doi: 10.1109/TBME.2017.2742541. Epub 2017 Aug 21.
6
Brain-computer interfaces for communication and rehabilitation.脑机接口用于通信和康复。
Nat Rev Neurol. 2016 Sep;12(9):513-25. doi: 10.1038/nrneurol.2016.113. Epub 2016 Aug 19.
7
Optimizing spatial filters by minimizing within-class dissimilarities in electroencephalogram-based brain-computer interface.基于脑电图的脑机接口通过最小化类内差异来优化空间滤波器。
IEEE Trans Neural Netw Learn Syst. 2013 Apr;24(4):610-9. doi: 10.1109/TNNLS.2013.2239310.
8
The MindGame: a P300-based brain-computer interface game.MindGame：一种基于 P300 的脑机接口游戏。
Neural Netw. 2009 Nov;22(9):1329-33. doi: 10.1016/j.neunet.2009.07.003. Epub 2009 Jul 16.
9
The BCI competition. III: Validating alternative approaches to actual BCI problems.脑机接口竞赛。III：验证解决实际脑机接口问题的替代方法。
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):153-9. doi: 10.1109/TNSRE.2006.875642.
10
The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials.2003年脑机接口竞赛：脑电图单次试验检测与辨别的进展及展望
IEEE Trans Biomed Eng. 2004 Jun;51(6):1044-51. doi: 10.1109/TBME.2004.826692.

Editorial: Datasets for Brain-Computer Interface Applications.

作者信息

Daly Ian, Matran-Fernandez Ana, Valeriani Davide, Lebedev Mikhail, Kübler Andrea

机构信息

Brain-Computer Interfacing and Neural Engineering Laboratory, School of Computer Science and Electronic Engineering, University of Essex, Colchester, United Kingdom.

Neurable Inc., Boston, MA, United States.

出版信息

Front Neurosci. 2021 Sep 29;15:732165. doi: 10.3389/fnins.2021.732165. eCollection 2021.

DOI:10.3389/fnins.2021.732165
PMID:34658770
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8511440/
Abstract
摘要