A BCI based visual-haptic neurofeedback training improves cortical activations and classification performance during motor imagery

Journal of neural engineering, 2019.

Cited by: 2|Bibtex|Views10|DOI:https://doi.org/10.1088/1741-2552/ab377d
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Other Links: pubmed.ncbi.nlm.nih.gov|academic.microsoft.com

Abstract:

These findings validate the feasibility of our proposed NFT to improve sensorimotor cortical activations and BCI performance during motor imagery. And it is promising to optimize conventional NFT manner and evaluate the effectiveness of motor training.

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