Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach

no code implementations • 13 Jun 2018 • Jordi Sole-Casals, Cesar F. Caiafa, Qibin Zhao, Adrzej Cichocki

For the random missing channels case, we show that tensor completion algorithms help to reconstruct missing channels, significantly improving the accuracy in the classification of motor imagery, however, not at the same level as clean data.

Classification EEG +3