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. 2016 Nov 8;6:36203. doi: 10.1038/srep36203

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Copyright © 2016, The Author(s)

This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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Grand-average of classification accuracies as a function of time: (a) SVM and (b) LDA and for EO and (c) SVM and (d) LDA for EC. Gray patch denotes the task period: [0 10] s. The classification accuracy is estimated using the feature vectors by sliding time window (window size: 3 s, step size: 1 s, 33.3% overlap). X-axis presents the right end of the sliding time window. Y-axis indicates the classification accuracy.