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Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.

Publication ,  Journal Article
Vidaurre, C; Schlögl, A; Cabeza, R; Scherer, R; Pfurtscheller, G
Published in: IEEE transactions on bio-medical engineering
March 2007

A study of different on-line adaptive classifiers, using various feature types is presented. Motor imagery brain computer interface (BCI) experiments were carried out with 18 naive able-bodied subjects. Experiments were done with three two-class, cue-based, electroencephalogram (EEG)-based systems. Two continuously adaptive classifiers were tested: adaptive quadratic and linear discriminant analysis. Three feature types were analyzed, adaptive autoregressive parameters, logarithmic band power estimates and the concatenation of both. Results show that all systems are stable and that the concatenation of features with continuously adaptive linear discriminant analysis classifier is the best choice of all. Also, a comparison of the latter with a discontinuously updated linear discriminant analysis, carried out in on-line experiments with six subjects, showed that on-line adaptation performed significantly better than a discontinuous update. Finally a static subject-specific baseline was also provided and used to compare performance measurements of both types of adaptation.

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Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

March 2007

Volume

54

Issue

3

Start / End Page

550 / 556

Related Subject Headings

  • User-Computer Interface
  • Pattern Recognition, Automated
  • Online Systems
  • Man-Machine Systems
  • Imagination
  • Humans
  • Evoked Potentials, Motor
  • Electroencephalography
  • Discriminant Analysis
  • Brain
 

Citation

APA
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ICMJE
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Vidaurre, C., Schlögl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2007). Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces. IEEE Transactions on Bio-Medical Engineering, 54(3), 550–556. https://doi.org/10.1109/tbme.2006.888836
Vidaurre, C., A. Schlögl, R. Cabeza, R. Scherer, and G. Pfurtscheller. “Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.IEEE Transactions on Bio-Medical Engineering 54, no. 3 (March 2007): 550–56. https://doi.org/10.1109/tbme.2006.888836.
Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces. IEEE transactions on bio-medical engineering. 2007 Mar;54(3):550–6.
Vidaurre, C., et al. “Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces.IEEE Transactions on Bio-Medical Engineering, vol. 54, no. 3, Mar. 2007, pp. 550–56. Epmc, doi:10.1109/tbme.2006.888836.
Vidaurre C, Schlögl A, Cabeza R, Scherer R, Pfurtscheller G. Study of on-line adaptive discriminant analysis for EEG-based brain computer interfaces. IEEE transactions on bio-medical engineering. 2007 Mar;54(3):550–556.

Published In

IEEE transactions on bio-medical engineering

DOI

EISSN

1558-2531

ISSN

0018-9294

Publication Date

March 2007

Volume

54

Issue

3

Start / End Page

550 / 556

Related Subject Headings

  • User-Computer Interface
  • Pattern Recognition, Automated
  • Online Systems
  • Man-Machine Systems
  • Imagination
  • Humans
  • Evoked Potentials, Motor
  • Electroencephalography
  • Discriminant Analysis
  • Brain