Open AccessComputer ScienceMedicinePhysics
F. Lotte, L. Bougrain, A. Cichocki, Maureen Clerc, M. Congedo, A. Rakotomamonjy, F. Yger
2018.4.16Journal of Neural Engineering
tlooto Summary
This paper provides a comprehensive overview of the modern classification algorithms used in EEG-based BCIs, presents the principles of these methods and guidelines on when and how to use them, and identifies a number of challenges to further advance EEG classification in BCI.
Abstract
Abstract is not available.
Citation format
LOTTE, F., et al. A review of classification algorithms for EEG-based brain–computer interfaces: A 10 year update. Journal of Neural Engineering, 2018, 15.