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Cited by 394

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Interfacing

Dornhege, G., Blankertz, B., Krauledat, M., Losch, F., Curio, G., Muller, K.-R.·2006·IEEE Transactions on Biomedical Engineering

Abstract

Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output device 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.

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Crossref · 10.1109/tbme.2006.883649

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Metadata

Authors
Dornhege, G., Blankertz, B., Krauledat, M., Losch, F., Curio, G., & Muller, K.-R.
Venue
IEEE Transactions on Biomedical Engineering
Published
2006-11
Volume
53
Issue
11
Pages
2274-2281
ISSN
  • 0018-9294 (ISSN-L)
  • 1558-2531
OpenAlex
W2165892205
Cited by
394
References
3
FWCI
7.22
Type
journal article
Language
en
Open access
closed

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