Buscar
Mostrando ítems 1-6 de 6
Artículo
Information Theory Applications in Signal Processing
(MDPI, 2019-07)
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
Information Theoretic Approaches for Motor-Imagery BCI Systems: Review and Experimental Comparison
(MDPI, 2018-01-02)
Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) technique is a well-established approach to the spatial filtering of the electroencephalogram (EEG) ...
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 ...
Tesis Doctoral
EEG Signal Processing in Motor Imagery Brain Computer Interfaces with Improved Covariance Estimators
(2020-04-24)
Desde hace unos años hasta la actualidad, el desarrollo en el campo de los interfaces cerebro ordenador ha ido aumentando. Este aumento viene motivado por una serie de factores distintos. A medida que aumenta el conocimiento ...
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 ...