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. 2016 Jan 28;13:11. doi: 10.1186/s12984-016-0119-8

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© Yi et al. 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 7 — The classification accuracies of multi-CSP-based and PSD-based methods for both conditions from the 12 subjects. Conditions 1 and 2 indicate that the time intervals are 1 s and 2 s, respectively, for sub-movement imagination. The black and gray bars indicate the classification accuracies of the multi-CSP-based and the PSD-based methods, respectively. Condition pairs that significantly differ from each other are indicated by a single asterisk (p < 0.05) or two asterisks (p < 0.01)