Title
Separable common spatio-spectral pattern algorithm for classification of EEG signals
Abstract
This paper proposes a novel method for extraction of discriminant spatio-spectral EEG features in motor imagery brain-computer interfaces. Considering a heteroscedastic binary classification setup, this method extracts the spatio-spectral features whose variance is maximized for one brain task and minimized for the other task. Therefore, our method can be considered as a spatio-spectral generalization of the conventional common spatial patterns (CSP) algorithm. In comparison to the similar solutions in the literature, such as filter-bank CSP (FBCSP) method, the proposed method benefits from joint processing of both spatial and spectral features, which improves the overall performance of the BCI while reducing its computational cost. Furthermore, our algorithm provides a simple measure that allows for ranking the discriminant power of extracted spatio-spectral features, which is not possible in FBCSP method. The experimental results demonstrate that the proposed method outperforms FBCSP for both raw EEG and preprocessed EEG data.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6637797
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
brain-computer interfaces,channel bank filters,electroencephalography,feature extraction,medical signal processing,signal classification,EEG data preprocessing,EEG signal classification,brain task minimisation,conventional common spatial pattern algorithm,discriminant power ranking,discriminant spatio-spectral EEG feature extraction,filter-bank CSP method,heteroscedastic binary classification setup,joint processing,motor imagery brain-computer interfaces,separable common spatio-spectral pattern algorithm,spatio-spectral generalization,variance maximization,brain computer interface,common spatial patterns,matrix-variate Gaussian,spatio-spectral features
Heteroscedasticity,Binary classification,Pattern recognition,Ranking,Computer science,Discriminant,Brain–computer interface,Algorithm,Feature extraction,Artificial intelligence,Electroencephalography,Motor imagery
Conference
ISSN
Citations 
PageRank 
1520-6149
1
0.39
References 
Authors
8
3
Name
Order
Citations
PageRank
Amirhossein S. Aghaei1624.72
Mohammad Shahin Mahanta2142.56
Kostas N. Plataniotis3347.69