A genetic algorithm for automatic feature extraction in P300 detection

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 3145-3152

  Dal Seno, Bernardo ^a,b   Matteucci, Matteo ^a   Mainardi, Luca ^a  

^a POLITECNICO DI MILANO   (Italy)

^b ISTITUTO ITALIANO DI TECNOLOGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN; CLASSIFIERS; DIESEL ENGINES; GENETIC ALGORITHMS; INTERFACES (COMPUTER); LEARNING SYSTEMS; NEURAL NETWORKS;

AUTOMATIC FEATURE EXTRACTIONS; BRAIN ACTIVITIES; BRAIN-COMPUTER INTERFACES; DATA SETS; EEG SIGNALS; EVENT-RELATED POTENTIALS; SIGNAL CHARACTERISTICS; TECHNIQUES USES;

FEATURE EXTRACTION;

EID: 56349096434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4634243     Document Type: Conference Paper

References (18)

1. J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, "Brain-computer interfaces for communication and control," Clin. Neurophysiol, vol. 113, pp. 767-791, 2002.
2. S. Sutton, M. Braren, J. Zubin, and E. R. John, "Evoked-potential correlates of stimulus uncertainty," Science, vol. 150, no. 3700, pp. 1187-1188, 1965.
3. E. Donchin, K. M. Spencer, and R. Wijesinghe, "The mental prosthesis: Assessing the speed of a P300-based brain-computer interface," IEEE Trans. Rehabil Eng., vol. 8, no. 2, pp. 174-179, June 2000.
4. J. D. Bayliss, S. A. Inverso, and A. Tentler, "Changing the P300 brain computer interface," Cyberpsychol. & Behav., vol. 7, no. 6, pp. 694-704, 2004.
5. F. Piccione, F. Giorgi, P. Tonin, K. Priftis, S. Giove, S. Silvoni, G. Palmas, and F. Beverina, "P300-based brain computer interface: reliability and performance in healthy and paralysed participants." Clin. Neurophysiol., vol. 117, no. 3, pp. 531-537, March 2006.
6. T. M. Vaughan, D. J. Mcfarland, G. Schalk, W. A. Samacki, D. J. Krusienski, E. W. Sellers, and J. R. Wolpaw, "The Wadsworth BCI research and development program: At home with BCI," IEEE TransNeural Syst. Rehabil. Eng., vol. 14, no. 2, pp. 229-233, 2006.
7. J. H. Holland, Adaptation in Neural and Artificial Systems. University of Michigan Press, 1975.
8. M. Kaper, P. Meinicke, U. Grossekathoefer, T. Lingner, and H. Ritter, "BCI competition 2003 - data set IIb: support vector machines for the P300 speller paradigm," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 1073-1076, June 2004.
9. J. Kohlmorgen and B. Blankertz, "Bayesian classification of singletrial event-related potentials in EEG," Int. J. Bifurcat. Chaos, vol. 14, no. 2, pp. 719-726, 2004.
10. R. Boostani, B. Graimann, M. H. Moradi, and G. Pfurtscheller, "A comparison approach toward finding the best feature and classifier in cue-based BCI," Med Biol. Eng. Comput., vol. 45, no. 4, pp. 403-412, April 2007.
11. L. Citi, R. Poli, C. Cinel, and F. Sepulveda, "Feature selection and classification in brain computer interfaces by a genetic algorithm," in Late-breaking papers of the Genetic and Evolutionary Computation Conference (GECCO-2004), vol. CD-ROM, 2004.
12. S. le Cessie and J. C. van. Houwelingen, "Ridge estimators in logistic regression," Applied Statistics, vol. 41, no. 1, pp. 191-201, 1992.
13. "BCI competition 2003," http://ida.first.fraunhofer.de/ projects/bci/competition_ii/index.html, 2003.
14. B. Blankertz, K.-R. Müller, G. Curio, T. M. Vaughan, G. Schalk, J. R. Wolpaw, A. Schlögl, C. Neuper, G. Pfurtscheller, T. Hinterberger, M. Schröder, and N. Birbaumer, "The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials," IEEE Trans. Biomed. Eng., vol. 51, no. 6, pp. 1044-1051, 2004.
15. "AIRLab: Artificial Intelligence and Robotics Lab," http://airlab.el.et.polimi.it/, web site.
16. "EBNeuro," http://www.ebneuro.biz/, web site.
17. 'The BioSig project," http://biosig.sourceforge.net/, web site.
18. I. H. Witten and E. Frank, Data Mining: Practical machine learning tools and techniques, 2nd ed. Morgan Kaufmann, 2005.