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Quality assessment of EEG signals based on statistics of signal fluctuations.

, , , , and . SMC, page 1853-1857. IEEE, (2014)

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Calibrating EEG-based motor imagery brain-computer interface from passive movement., , , , , and . EMBC, page 4199-4202. IEEE, (2011)Brain-computer interface for neurorehabilitation: Looking beyond upper limbs., , , , , , , and . BCI, page 1. IEEE, (2014)Quantitative EEG as Biomarkers for the Monitoring of Post-Stroke Motor Recovery in BCI and tDCS Rehabilitation., , , , , and . EMBC, page 3610-3613. IEEE, (2018)Quality assessment of EEG signals based on statistics of signal fluctuations., , , , and . SMC, page 1853-1857. IEEE, (2014)A measurement of motor recovery for motor imagery-based BCI using EEG coherence analysis., , , , , , , , , and . ICICS, page 1-5. IEEE, (2015)Motor imagery BCI for upper limb stroke rehabilitation: An evaluation of the EEG recordings using coherence analysis., , , , , , , and . EMBC, page 261-264. IEEE, (2013)Increased Theta Oscillations During Motor Imagery in a Subject with Late-stage ALS., , , , , , and . EMBC, page 1078-1081. IEEE, (2018)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)Image-based Motor Imagery EEG Classification using Convolutional Neural Network., , , , , , , and . BHI, page 1-4. IEEE, (2019)Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement., , , , , , , , and . Neural Comput. Appl., 28 (11): 3259-3272 (2017)