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EEG signal separation for multi-class motor imagery using common spatial patterns based on Joint Approximate Diagonalization.

, , , , and . IJCNN, page 1-6. IEEE, (2010)

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Neural representation and identification of reaching targets by spike trains in motor cortex., , , and . CCMB, page 130-137. IEEE, (2013)Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement., , , , , , , , and . Neural Comput. Appl., 28 (11): 3259-3272 (2017)A clinical study of motor imagery BCI performance in stroke by including calibration data from passive movement., , , , , , , , , and . EMBC, page 6603-6606. IEEE, (2013)Selection of effective EEG channels in brain computer interfaces based on inconsistencies of classifiers., , , , and . EMBC, page 672-675. IEEE, (2014)EEG Channel Selection Based on Correlation Coefficient for Motor Imagery Classification: A Study on Healthy Subjects and ALS Patient., , , , , , and . EMBC, page 1996-1999. IEEE, (2018)Maximum dependency and minimum redundancy-based channel selection for motor imagery of walking EEG signal detection., , , and . ICASSP, page 1187-1191. IEEE, (2013)Spatially sparsed Common Spatial Pattern to improve BCI performance., , , and . ICASSP, page 2412-2415. IEEE, (2011)Cluster impurity and forward-backward error maximization-based active learning for EEG signals classification., , , , and . ICASSP, page 569-572. IEEE, (2012)An Information Theoretic Linear Discriminant Analysis Method., , and . ICPR, page 4182-4185. IEEE Computer Society, (2010)Navigation in a virtual environment using multiclass motor imagery Brain-Computer Interface., , , and . CCMB, page 152-157. IEEE, (2013)