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Feature selection for EEG-based discrimination between imagination of left and right hand movements

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: In this article was analyzed an influence of selected features on the accuracy of discrimination between imagination of right and left hand movements based on recorded EEG waveforms. The study showed a significant advantage that individual selection of features and a classification algorithm for analyzed data holds over the more general approach. The results were compared with the results obtained by the participants of the "BCI competition IV" and placed in the top three.
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Bibliogr. 8 poz., rys., tab., wzory
  • Institute of Automatic Control, Silesian University of Technology
  • Institute of Automatic Control, Silesian University of Technology
  • [1] Leeb R., Lee F., Keinrath C., Scherer R., Bischof H., Pfurtscheller G.: Brain–computer communication: motivation, aim and impact of exploring a virtual apartment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 15, pp. 473-482, 2007.
  • [2] Pfurtscheller G., Lopes da Silva F. H.: Event-related EEG/MEG synchronization and desynchronization: basic principles. Clinical Neurophysiology, vol. 110, pp. 1842-1857, 1999.
  • [3] Yuan Yang, Chevallier S., Wiart J., Bloch I.: Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels, EURASIP Journal on Advances in Signal Processing, vol. 38, pp. 1-18, 2014.
  • [4] Lotte F., Congedo M., Lécuyer A., Lamarche F., Arnaldi B.: A review of classification algorithms for EEG-based brain–computer interfaces, Journal of Neural Engineering, vol. 4, R1-R13, 2007.
  • [5] Tangermann M., Müller K. R., Aertsen A., Birbaumer N., Braun C., Brunner C., Leeb R., Mehring C., Miller K. J., Müller-Putz G. R., Nolte G., Pfurtscheller G., Preissl H., Schalk G., Schlögl A., Vidaurre C., Waldert S., Blankertz B.: Review of the BCI competition IV, Frontiers in Neuroscience vol. 6, pp. 1-31, 2012.
  • [6] Schlögl A., Kronegg J., Huggins J. E., Mason S. G.: Evaluation criteria in BCI research. Toward brain-computer interfacing, Dornhege G. et al., MIT Press, pp. 327–342, 2007.
  • [7] Garcés Correa A., Laciar E., Patiño H. D., Valentinuzzi M. E.: Artifact removal from EEG signals using adaptive filters in cascade, Journal of Physics: Conference Series, vol. 90, pp. 1-10, 2007.
  • [8] Vidaurre C., Kramer N., Blankertz B., Schlogl A.: Time domain parameters as a feature for EEG-based brain–computer interfaces, Neural Networks, vol. 22, pp. 1313–1319, 2009.
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