The effects of varying levels of mental workload on motor imagery based brain-computer interface

Long Chen
Long Chen
Yijie Zhou
Yijie Zhou
Haiqing Yu
Haiqing Yu
Kun Wang
Kun Wang

IJES, pp. 315-323, 2020.

Cited by: 0|Bibtex|Views2|DOI:https://doi.org/10.1504/IJES.2020.107044
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Other Links: dblp.uni-trier.de|academic.microsoft.com

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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