<p>The Figure illustrates a set of common spatial patterns (CSPs) filters of a single participant in the study. The CSPs are optimized for the discrimination of left hand motor imagery from a control rest condition.</p
The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically de-pends on the extraction ...
International audienceCommon Spatial Patterns (CSP) is a feature extraction method suited for two-cl...
Abstract. Common spatial pattern (CSP) is very successful in con-structing spatial filters for detec...
<p>(A) spatial patterns of the resting state; (B) spatial patterns of the motor imagery state; (C) s...
Background and objectives: Brain-computer interface (BCI) systems typically deploy common spatial pa...
Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discri...
Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discri...
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter ...
Abstract. Common spatial pattern (CSP) is widely used for constructing spatial filters to extract fe...
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter ...
<p>Correlation coefficients of spatial patterns and spatial filters between the resting state and th...
Copyright © 2013 H. Higashi and T. Tanaka. This is an open access article distributed under the Crea...
Machine learning in motor imagery, the classifier performance of electro-encephalo-graphy (EEG) data...
Laplacian filters are widely used in neuroscience. In the context of brain-computer interfacing, the...
A Brain-Computer Interface (BCI) system provides a convenient way of communication for healthy subje...
The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically de-pends on the extraction ...
International audienceCommon Spatial Patterns (CSP) is a feature extraction method suited for two-cl...
Abstract. Common spatial pattern (CSP) is very successful in con-structing spatial filters for detec...
<p>(A) spatial patterns of the resting state; (B) spatial patterns of the motor imagery state; (C) s...
Background and objectives: Brain-computer interface (BCI) systems typically deploy common spatial pa...
Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discri...
Common spatial pattern (CSP) is shown to be an effective pre-processing algorithm in order to discri...
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter ...
Abstract. Common spatial pattern (CSP) is widely used for constructing spatial filters to extract fe...
Motor-imagery-based brain-computer interfaces (BCIs) commonly use the common spatial pattern filter ...
<p>Correlation coefficients of spatial patterns and spatial filters between the resting state and th...
Copyright © 2013 H. Higashi and T. Tanaka. This is an open access article distributed under the Crea...
Machine learning in motor imagery, the classifier performance of electro-encephalo-graphy (EEG) data...
Laplacian filters are widely used in neuroscience. In the context of brain-computer interfacing, the...
A Brain-Computer Interface (BCI) system provides a convenient way of communication for healthy subje...
The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically de-pends on the extraction ...
International audienceCommon Spatial Patterns (CSP) is a feature extraction method suited for two-cl...
Abstract. Common spatial pattern (CSP) is very successful in con-structing spatial filters for detec...
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