Aggregating classification accuracy across time: Application to single trial EEG

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 825-832

  Lemm, Steven ^a   Schäfer, Christin ^a   Curio, Gabriel ^b  

^a FRAUNHOFER FIRST   (Germany)

^b CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACROSS TIME; BAYES ERROR; BINARY CLASSIFICATION PROBLEMS; CLASS DISTRIBUTIONS; CLASSIFICATION ACCURACY; DISCRIMINATORY POWER; ERROR RATE; MISCLASSIFICATIONS; ON-LINE CLASSIFICATION; PROBABILISTIC DECISIONS; SINGLE TRIAL; SINGLE-TRIAL EEG; TIME INSTANCES; WEIGHTING SCHEME;

EID: 67149114812     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. C. Babiloni, F. Carducci, F. Cincotti, P. M. Rossini, C. Neuper, Gert Pfurtscheller, and F. Babiloni. Human movement-related potentials vs desynchronization of EEG alpha rhythm: A high-resolution EEG study. NeuroImage, 10:658-665, 1999.
2. Benjamin Blankertz, Klaus-Robert Müller, Dean Krusienski, Gerwin Schalk, Jonathan R. Wolpaw, Alois Schlögl, Gert Pfurtscheller, José del R. Millán, Michael Schröder, and Niels Birbaumer. The BCI competition III: Validating alternative approachs to actual BCI problems. IEEE Trans. Neural Sys. Rehab. Eng., 14(2):153-159, 2006.
3. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, and Klaus-Robert Müller. Combining features for BCI. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Inf. Proc. Systems (NIPS 02), volume 15, pages 1115-1122, 2003.
4. Guido Dornhege, Benjamin Blankertz, Gabriel Curio, and Klaus-Robert Müller. Increase information transfer rates in BCI by CSP extension to multi-class. In Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors, Advances in Neural Information Processing Systems, volume 16, pages 733-740. MIT Press, Cambridge, MA, 2004.
5. R.O. Duda, P.E. Hart, and D.G. Stork. Pattern Classification. John Wiley & Sons, New York, 2nd edition, 2001.
6. R. Hari and R. Salmelin. Human cortical oscillations: a neuromagnetic view through the skull. Trends in Neuroscience, 20:44-9, 1997.
7. H. Jasper and W. Penfield. Electrocorticograms in man: Effect of voluntary movement upon the electrical activity of the precentral gyrus. Arch. Psychiatrie Zeitschrift Neurol., 183:163-74, 1949.
8. Steven Lemm, Christin Schäfer, and Gabriel Curio. Probabilistic modeling of sensorimotor μ rhythms for classification of imaginary hand movements. IEEE Trans. Biomed. Eng., 51(6):1077-1080, 2004.
9. B.D. Mensh, J. Werfer, and H.S. Seung. Combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals. IEEE Trans. Biomed. Eng., 51(6):1052-6, 2004.
10. Klaus-Robert Müller, Charles W. Anderson, and Gary E. Birch. Linear and nonlinear methods for brain-computer interfaces. IEEE Trans. Neural Sys. Rehab. Eng., 11(2):165-169, 2003.
11. C. Neuper, A. Schlögl, and G. Pfurtscheller. Enhancement of left-right sensorimotor EEG differences during feedback-regulated motor imagery. Journal Clin. Neurophysiol., 16:373-82, 1999.
12. V. Nikouline, K. Linkenkaer-Hansen, Wikström; H., M. Kesäniemi, E. Antonova, R. Ilmoniemi, and J. Huttunen. Dynamics of mu-rhythm suppression caused by median nerve stimulation: a magnetoencephalographic study in human subjects. Neurosci. Lett., 294, 2000.
13. G. Pfurtscheller and A. Arabibar. Evaluation of event-related desynchronization preceding and following voluntary self-paced movement. Electroencephalogr. Clin. Neurophysiol., 46:138-46, 1979.
14. G. Pfurtscheller, C. Neuper, D. Flotzinger, and M. Pregenzer. EEG-based discrimination between imagination of right and left hand movement. Electroenceph. clin. Neurophysiol., 103:642-51, 1997.
15. S. Salenius, A. Schnitzler, R. Salmelin, V. Jousmäki, and R. Hari. Modulation of human cortical rolandic rhythms during natural sensorimotor tasks. NeuroImage, 5:221-8, 1997.
16. Christin Schäfer, Steven Lemm, and Gabriel Curio. Binary on-line classification based on temporally integrated information. In Claus Weihs and Wolfgang Gaul, editors, Proceedings of the 28th annual conference of the Gesellschaft für Klassifikation, pages 216-223, 2005.
17. A. Schlögl, R. Scherer C. Keinrath, and G. Pfurtscheller. Information transfer of an EEG-based brain-computer interface. In Proc. First Int. IEEE EMBS Conference on Neural Engineering, pages 641-644, 2003.
18. A. Schnitzler, S. Salenius, R. Salmelin, V. Jousmäki, and R. Hari. Involvement of primary motor cortex in motor imagery: a neuromagnetic study. NeuroImage, 6:201-8, 1997.
19. C. Torrence and G.P. Compo. A practical guide to wavelet analysis. Bull. Am. Meterol., 79:61-78, 1998.
20. Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Gert Pfurtscheller, and Theresa M. Vaughan. Brain-computer interfaces for communication and control. Clin. Neurophysiol., 113:767-791, 2002.
21. J.R. Wolpaw and D.J. McFarland. Multichannel EEG-based brain-computer communication. Electroenceph. clin. Neurophysiol., 90:444-9, 1994.