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A measurement of motor recovery for motor imagery-based BCI using EEG coherence analysis.

, , , , , , , , , and . ICICS, page 1-5. IEEE, (2015)

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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)Improved MCMAC with momentum, neighborhood, and averaged trapezoidal output., and . IEEE Trans. Syst. Man Cybern. Part B, 30 (3): 491-500 (2000)A Unified Fisher's Ratio Learning Method for Spatial Filter Optimization., , , and . IEEE Trans. Neural Networks Learn. Syst., 28 (11): 2727-2737 (2017)A New Discriminative Common Spatial Pattern Method for Motor Imagery Brain-Computer Interfaces., , , , and . IEEE Trans. Biomed. Eng., 56 (11): 2730-2733 (2009)Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface., , , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (9): 4039-4051 (2021)Extracting effective features from high density nirs-based BCI for assessing numerical cognition., , and . ICASSP, page 2233-2236. IEEE, (2012)Optimizing low-frequency common spatial pattern features for multi-class classification of hand movement directions., , , and . EMBC, page 2780-2783. IEEE, (2013)Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization., , , , , and . MetroXRAINE, page 1027-1032. IEEE, (2023)A clinical study of motor imagery BCI performance in stroke by including calibration data from passive movement., , , , , , , , , and . EMBC, page 6603-6606. IEEE, (2013)