Combined optimization of spatial and temporal filters for improving brain-computer interfacing
- Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output de ice by bypassing conventional motor output pathways of nerves and muscles. Therefore they could provide a new communication and control option for paralyzed patients. Modern BCI technology is essentially based on techniques for the classification of single-trial brain signals. Here we present a novel technique that allows the simultaneous optimization of a spatial and a spectral filter enhancing discriminability rates of multichannel EEG single-trials. The evaluation of 60 experiments involving 22 different subjects demonstrates the significant superiority of the proposed algorithm over to its classical counterpart: the median classification error rate was decreased by 11%. Apart from the enhanced classification, the spatial and/or the spectral filter that are determined by the algorithm can also be used for further analysis of the data, e.g., for source localization of the respective brain rhythms.
Verfasserangaben: | Guido Dornhege, Benjamin BlankertzGND, Matthias Krauledat, Florian LoschORCiDGND, Gabriel Curio, Klaus-Robert MüllerORCiDGND |
---|---|
DOI: | https://doi.org/10.1109/TBME.2006.883649 |
ISSN: | 0018-9294 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/17073333 |
Titel des übergeordneten Werks (Englisch): | IEEE transactions on bio-medical electronics |
Verlag: | IEEE |
Verlagsort: | New York |
Publikationstyp: | Wissenschaftlicher Artikel |
Sprache: | Englisch |
Datum der Erstveröffentlichung: | 16.10.2006 |
Erscheinungsjahr: | 2006 |
Datum der Freischaltung: | 04.05.2020 |
Freies Schlagwort / Tag: | EEG; brain-computer interface; common spatial patterns; event-related desynchronization; single-trial-analysis |
Band: | 53 |
Ausgabe: | 11 |
Seitenanzahl: | 8 |
Erste Seite: | 2274 |
Letzte Seite: | 2281 |
Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science |
DDC-Klassifikation: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme |
Peer Review: | Referiert |
Name der Einrichtung zum Zeitpunkt der Publikation: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik |