Prediction of the Following BCI Performance by Means of Spectral EEG Characteristics in the Prior Resting State
KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 11, pp. 265-272, Nov. 2020
https://doi.org/10.3745/KTCCS.2020.9.11.265, PDF Download:
Keywords: Electroencephalograpy, Brain Computer Interface, Convolution Neural Network, Lasso
Abstract
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Cite this article
[IEEE Style]
J. Kang, S. Kim, J. Youn, J. Kim, "Prediction of the Following BCI Performance by Means of Spectral EEG Characteristics in the Prior Resting State," KIPS Transactions on Computer and Communication Systems, vol. 9, no. 11, pp. 265-272, 2020. DOI: https://doi.org/10.3745/KTCCS.2020.9.11.265.
[ACM Style]
Jae-Hwan Kang, Sung-Hee Kim, Joosang Youn, and Junsuk Kim. 2020. Prediction of the Following BCI Performance by Means of Spectral EEG Characteristics in the Prior Resting State. KIPS Transactions on Computer and Communication Systems, 9, 11, (2020), 265-272. DOI: https://doi.org/10.3745/KTCCS.2020.9.11.265.