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. 2018 Feb 21;12:93. doi: 10.3389/fnins.2018.00093

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Copyright © 2018 Shu, Chen, Yao, Sheng, Zhang, Jiang, Jia and Zhu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Evaluation of the two proposed physiological predictors. (A) Predicting performance in two-class BCI with LI values. (B) Predicting performance in brain-switch BCI with CAS values. Sensitivity and specificity for recognition of BCI-inefficient users were 88.2 and 85.7%, respectively, in two-class BCI, and 100.0 and 87.5%, respectively, in brain-switch BCI.