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Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement.

, , , , , , , , and . Neural Comput. Appl., 28 (11): 3259-3272 (2017)

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Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation., , , , , , and . EMBC, page 4128-4131. IEEE, (2012)A novel hand strength assessment method integrated into haptic knob for stroke rehabilitation., , , , and . CIRAT, page 1-4. IEEE, (2013)Rapid Detection of Inactive Channels during Multi-unit Intracranial Recordings., , , , , and . BHI, page 1-4. IEEE, (2019)Dynamic initiation and dual-tree complex wavelet feature-based classification of motor imagery of swallow EEG signals., , , , , and . IJCNN, page 1-6. IEEE, (2012)Brainy Communicator., , and . ICME, page 4. IEEE Computer Society, (2007)Quality assessment of EEG signals based on statistics of signal fluctuations., , , , and . SMC, page 1853-1857. IEEE, (2014)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)Brain-computer interface for neurorehabilitation: Looking beyond upper limbs., , , , , , , and . BCI, page 1. IEEE, (2014)Towards optimum linear transformation under zero-mean Gaussian mixtures for detection of motor imagery EEG., , and . ICASSP, page 2226-2229. IEEE, (2010)A measurement of motor recovery for motor imagery-based BCI using EEG coherence analysis., , , , , , , , , and . ICICS, page 1-5. IEEE, (2015)