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ICPR
2010
IEEE
13 years 9 months ago
Spatially Regularized Common Spatial Patterns for EEG Classification
In this paper, we propose a new algorithm for BrainComputer Interface (BCI): the Spatially Regularized Common Spatial Patterns (SRCSP). SRCSP is an extension of the famous CSP alg...
Fabien Lotte, Cuntai Guan
ICASSP
2011
IEEE
12 years 9 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
IJCNN
2008
IEEE
13 years 12 months ago
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
—In motor imagery-based Brain Computer Interfaces (BCI), discriminative patterns can be extracted from the electroencephalogram (EEG) using the Common Spatial Pattern (CSP) algor...
Kai Keng Ang, Zhang Yang Chin, Haihong Zhang, Cunt...
ICASSP
2011
IEEE
12 years 9 months ago
Classification by weighting for spatio-frequency components of EEG signal during motor imagery
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...
Hiroshi Higashi, Toshihisa Tanaka
ICASSP
2011
IEEE
12 years 9 months ago
Spatially sparsed Common Spatial Pattern to improve BCI performance
Common Spatial Pattern (CSP) is widely used in discriminating two classes of EEG in Brain Computer Interface applications. However, the performance of the CSP algorithm is affecte...
Mahnaz Arvaneh, Cuntai Guan, Kai Keng Ang, Hiok Ch...