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Are Online Co-adaptive Sensorimotor Rhythm Brain-Computer Interface Training Paradigms Effective?, and . CW, page 419-422. IEEE, (2018)Study of On-Line Adaptive Discriminant Analysis for EEG-Based Brain Computer Interfaces., , , , and . IEEE Trans. Biomed. Eng., 54 (3): 550-556 (2007)Rehabilitation with Brain-Computer Interface Systems., , , and . Computer, 41 (10): 58-65 (2008)A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest., , , , and . EMBC, page 1049-1052. IEEE, (2015)What does clean EEG look like?, , , , , , and . EMBC, page 3963-3966. IEEE, (2012)Simultaneous brain-computer interfacing and motor control: Expanding the reach of non-invasive BCIs., , , and . EMBC, page 6715-6718. IEEE, (2012)Unsupervised Feature Learning for EEG-based Emotion Recognition., , , , and . CW, page 182-185. IEEE Computer Society, (2017)Designing for Engaging BCI Training: A Jigsaw Puzzle., , , , and . CHI PLAY, page 667-672. ACM, (2015)Detecting System Errors in Virtual Reality Using EEG Through Error-Related Potentials., , , , , , , , and . VR, page 653-661. IEEE, (2020)Estimation of gait parameters from EEG source oscillations., , and . SMC, page 4182-4187. IEEE, (2016)