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Artículo
EEG Signal Processing in MI-BCI Applications With Improved Covariance Matrix Estimators
(IEEE, 2019)
In brain-computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the trial covariance matrices, given the high non-stationarity of the EEG sources. We propose the application ...
Artículo
EEG signal processing in mi-bci applications with improved covariance matrix estimators
(Institute of Electrical and Electronics Engineers Inc., 2019)
n brain–computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the trial covariance matrices, given the high non-stationarity of the EEG sources. We propose the ...
Artículo
Unsupervised Common Spatial Patterns
(Institute of Electrical and Electronics Engineers Inc., 2019)
The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface (BCI) systems. In the two-class CSP problem, training data are linearly projected onto direc tions ...