Optimizing multi-class spatio-spectral filters via Bayes error estimation for EEG classification

Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference

Volumn , Issue , 2009, Pages 2268-2276

  Zheng, Wenming ^a   Lin, Zhouchen ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; ERRORS;

ADVERSE EFFECT; BAYES' ERRORS; CLOSED FORM; COMMON SPATIAL PATTERNS; DATA SET; DELAY-EMBEDDING; EFFECT OF NOISE; SPECTRAL FILTERS; SPECTRAL PATTERNS; THEORETICAL FRAMEWORK;

ELECTROENCEPHALOGRAPHY;

EID: 84858714964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. B. Blankertz, G. Curio, & K.-R. Müller (2002) Classifying single trial EEG: towards brain computer interfacing. In: T.G. Dietterich, S. Bechker, Z. Ghaharamani (Eds.), Advances in Neural Information Processing Systems14, pp.157-164. Cambridge, MA: MIT Press.
2. H. Ramoser, J. Mueller-Gerking, & G. Pfurtscheller (2000) Optimal spatial filtering of single trial EEG during imaged hand movement. IEEE Transactions on Rehabilitation Engineering. 8(4):441-446.
3. S. Lemm, B. Blanketz, G. Curio, & K.-R. Müller (2005) Spatio-spectral filters for improved classification of single trial EEG. IEEE Transactions on Biomedical Engineering. 52(9):1541-1548.
4. G. Dornhege, B. Blankertz, G. Curio, & K.-R. Müller (2004) Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms. IEEE Transactions on Biomedical Engineering. 51(6):993-1002.
5. M. Grosse-Wentrup, & M. Buss (2008) Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction. IEEE Transactions on Biomedical Engineering. 55:1991-2000.
6. L. C. Parra, C. D. Spence, A. D. Gerson, & P. Sajda (2005) Recipes for linear analysis of EEG. Neuroimage, 28:326-341.
7. K. Fukunaga (1990) Introduction to Statistical Pattern Recognition (Second Edition). New York: Academic Press.
8. J.T. Chu & J.C. Chuen (1967) Error Probability in Decision Functions for Character Recognition. Journal of the Association for Computing Machinery. 14(2):273-280.
9. W. Zheng (2009) Heteroscedastic Feature Extraction for Texture Classification. IEEE Signal Processing Letters, 16(9):766-769.
10. W. Zheng, H. Tang, Z. Lin, & T.S. Huang (2009) A Novel Approach to Expression Recognition from Non-frontal Face Images. Proceedings of 2009 IEEE International Conference on Computer Vision (ICCV2009), pp.1901-1908.
11. G. Blankertz, K.R. Mueller, D. Krusienski, G. Schalk, J.R. Wolpaw, A. Schloegl, G. Pfurtscheller, J. R. Millan, M. Schroeder, & N. Birbaumer (2006) The BCI competition III: Validating alternative approaches to actual BCI problems. IEEE Transactions on Rehabilitation Engineering 14:153-159.