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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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Quantitative assessment of motor functions post-stroke: Responsiveness of upper-extremity robotic measures and its task dependence., , , , , , , , , and . ICORR, page 1037-1042. IEEE, (2017)Assessment of the Efficacy of EEG-Based MI-BCI With Visual Feedback and EEG Correlates of Mental Fatigue for Upper-Limb Stroke Rehabilitation., , , , , , , , , and 2 other author(s). IEEE Trans. Biomed. Eng., 67 (3): 786-795 (2020)A preliminary study on the relationship between proprioceptive deficits and motor functions in chronic stroke patients., , , , , , , , , and 2 other author(s). ICORR, page 465-470. IEEE, (2019)Wrist Proprioception in Acute and Subacute Stroke: A Robotic Protocol for Highly Impaired Patients., , , , , , and . BioRob, page 19-24. IEEE, (2018)Robot-Aided Bimanual Assessment of Wrist Proprioception in People with Acute Stroke., , , , , , and . BioRob, page 473-478. IEEE, (2018)Upper Limb Position Matching After Stroke: Evidence for Bilateral Asymmetry in Precision but Not in Accuracy., , , , , , , and . IEEE Access, (2023)FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface., , , , , , , and . CoRR, (2021)Brain-computer interface for neurorehabilitation: Looking beyond upper limbs., , , , , , , and . BCI, page 1. IEEE, (2014)Exploring the Feasibility of Computer Vision for Detecting Post-Stroke Compensatory Movements., , , , , , , , , and 1 other author(s). ICORR, page 1-6. IEEE, (2023)A measurement of motor recovery for motor imagery-based BCI using EEG coherence analysis., , , , , , , , , and . ICICS, page 1-5. IEEE, (2015)