The effects of varying levels of mental workload on motor imagery based brain-computer interface
IJES, pp. 315-323, 2020.
EI
Abstract:
As one of the most applied EEG-based paradigms, motor imagery based brain-computer interface (MI-BCI) is used not only to control external devices, but also to help hemiplegic patients to reconstruct impaired motor function. However, in practical application of MI-BCI, users often face more varied external environments and complex cogniti...More
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