On the robustness of EEG tensor completion methods-Reference-Cited by-同舟云学术

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On the robustness of EEG tensor completion methods

Published:2021-07-27 Issue:9 Volume:64 Page:1828-1842
ISSN:1674-7321
Container-title:Science China Technological Sciences
language:en
Short-container-title:Sci. China Technol. Sci.

Author:

Duan Feng,Jia Hao,Zhang ZhiWen,Feng Fan,Tan Ying,Dai YangYang,Cichocki Andrzej,Yang ZhengLu,Caiafa Cesar F.,Sun Zhe,Solé-Casals Jordi

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

https://link.springer.com/content/pdf/10.1007/s11431-020-1839-5.pdf

Reference27 articles.

1. Lotte F, Congedo M, Lécuyer A, et al. A review of classification algorithms for EEG-based brain computer interfaces. J Neur Eng, 2007, 4: 1–13

2. Dissertation for Doctoral Degree;S Sakhavi,2017

3. Lin Z, Zhang C, Wu W, et al. Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs. IEEE Trans Biomed Eng, 2006, 53: 2610–2614

4. Donchin E, Spencer K M, Wijesinghe R. The mental prosthesis: Assessing the speed of a P300-based brain-computer interface. IEEE Trans Rehab Eng, 2000, 8: 174–179

5. Pfurtscheller G, Neuper C. Motor imagery and direct brain-computer communication. Proc IEEE, 2001, 89: 1123–1134

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