Name
Abstract | ||
|---|---|---|
We propose a novel spectral filter optimization algorithm for the single trial ElectroEncephaloGraphy (EEG) classification problem. The algorithm is designed to improve the classification accuracy of Common Spatial Pattern (CSP) based classifiers. The algorithm is based on a simple statistical criterion, and allows the user to incorporate any prior information one has about the spectrum of the signal. We show that with a different preprocessing, how a prior knowledge can drastically improve the classification or only be misleading. We also show a generalization of the CSP algorithm so that the CSP spatial projection can be recalculated after the optimization of the spectral filter. This leads to an iterative procedure of spectral and spatial filter update that further improves the classification accuracy, not only by imposing a spectral filter but also by choosing a better spatial projection. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11861898_42 | DAGM-Symposium |
Keywords | Field | DocType |
spatial projection,single trial eeg classification,optimization algorithm,csp algorithm,csp spatial projection,classification accuracy,spectral filter,spatial filter update,classification problem,prior knowledge,prior information,spatial filtering,spectrum,electroencephalography,spatial pattern | Constraint satisfaction,Iterative method,Computer science,Algorithm,Preprocessor,Linear discriminant analysis,Spatial Projection,Spectral filtering,Electroencephalography,Spatial filter | Conference |
Volume | ISSN | ISBN |
4174 | 0302-9743 | 3-540-44412-2 |
Citations | PageRank | References |
9 | 1.39 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryota Tomioka | 1 | 1367 | 91.68 |
| Guido Dornhege | 2 | 596 | 84.14 |
| G Nolte | 3 | 535 | 50.42 |
| Kazuyuki Aihara | 4 | 1909 | 333.03 |
| Klaus-Robert Müller | 5 | 12756 | 1615.17 |