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Feature consistency-based model adaptation in session-to-session classification: A study using motor imagery of swallow EEG signals.

, , , , , , and . EMBC, page 429-432. IEEE, (2013)

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Quality assessment of EEG signals based on statistics of signal fluctuations., , , , and . SMC, page 1853-1857. IEEE, (2014)Towards optimum linear transformation under zero-mean Gaussian mixtures for detection of motor imagery EEG., , and . ICASSP, page 2226-2229. IEEE, (2010)Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface., , , , and . IEEE Trans. Neural Networks, 22 (1): 52-63 (2011)A measurement of motor recovery for motor imagery-based BCI using EEG coherence analysis., , , , , , , , , and . ICICS, page 1-5. IEEE, (2015)An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential., , , , , , and . IEEE Trans. Biomed. Eng., 57 (10): 2495-2505 (2010)Multiway analysis of EEG artifacts based on Block Term Decomposition., , , , , and . IJCNN, page 913-920. IEEE, (2016)Calibrating EEG-based motor imagery brain-computer interface from passive movement., , , , , and . EMBC, page 4199-4202. IEEE, (2011)An ocular artefacts correction method for discriminative EEG analysis based on logistic regression., , , , , , , and . EUSIPCO, page 2731-2735. IEEE, (2015)Iterative clustering and support vectors-based high-confidence query selection for motor imagery EEG signals classification., , , , and . ICPR, page 2169-2172. IEEE Computer Society, (2012)Modeling EEG-based Motor Imagery with Session to Session Online Adaptation., , , , and . EMBC, page 1988-1991. IEEE, (2018)