Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Link
http://link.springer.com/article/10.1007/s12559-018-9574-9/fulltext.html
Reference57 articles.
1. Solé-Casals J, Vialatte FB, Dauwels J. Alternative techniques of neural signal processing in neuroengineering. Cogn Comput. 2015;7:1–2.
2. Cai Z, Makino S, Rutkowski T. Brain evoked potential latencies optimization for spatial auditory brain–computer interface. Cogn Comput. 2015;7(1):34–43.
3. Wolpaw JR, Birbaumer N, Heetderks WJ, McFarland DJ, Peckham PH, Schalk G, et al. Brain–computer interface technology: a review of the first international meeting. IEEE Trans Rehabil Eng. 2000;8(2):164–73.
4. Millán JD. Brain–computer interfaces. In Handbook of brain theory and neural networks. Cambridge: The MIT Press; 2002.
5. Huang D, Qian K, Fei D, Jia W, Chen X, Bai O. Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control. IEEE Trans Neural Syst Rehabil Eng. 2012;20(3):379–88.
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