Model based generalization analysis of common spatial pattern in brain computer interfaces
نویسندگان
چکیده
منابع مشابه
Time-Constrained Filter Bank Common Spatial Pattern for Motor Imagery Brain-Computer Interfaces
One of most important tasks or key steps in the designing of an EEG-based BCI system is the optimization of spatio-temporal filters for each subject due to the poor spatial resolution of the EEG recordings, as well as the topographical arrangement and frequency specificity of brain activities. A highly popular technique for the optimization of spatial filters is Common Spatial Pattern (CSP). To...
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Common spatial pattern (CSP) algorithm and principal component analysis (PCA) are two commonly used key techniques for EEG component selection and EEG feature extraction for EEG-based braincomputer interfaces (BCIs). However, both the ordinary CSP and PCA algorithms face a loading problem, i.e., their weights in linear combinations are non-zero. This problem makes a BCI system easy to be over-f...
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ژورنال
عنوان ژورنال: Cognitive Neurodynamics
سال: 2010
ISSN: 1871-4080,1871-4099
DOI: 10.1007/s11571-010-9117-x