Movement imagery classification on the basis of single-trial EEGs

Maki H., Takayanagi H., Yamazaki T., Kamijo K., YAMANOİ T.

2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007, Montreal, Canada, 7 - 10 October 2007, pp.3979-3983, (Full Text) identifier

  • Nəşrin Növü: Conference Paper / Full Text
  • Doi nömrəsi: 10.1109/icsmc.2007.4414247
  • Çap olunduğu şəhər: Montreal
  • Ölkə: Canada
  • Səhifə sayı: pp.3979-3983
  • Açıq Arxiv Kolleksiyası: Konfrans Materialı
  • Adres: Bəli

Qısa məlumat

In order to develop a new brain-computer interface (BCI) using EEGs, the independent component analysis (ICA), multiple equivalent current dipole source localization (ECDL) method and then Hayashi's quantification method II were applied to single-trial EEGs during movement imagery. Up to the 20th independent component, each of them contained one or two positive (or negative) peaks in terms of 32-channel EEGs reconstructed on the electrode surface by the deflation procedure, and these peaks were analyzed by 1- or 2-dipole source localization method. Moreover, the quantification method based on these ECDL results yielded a good discrimination between right- and left-hand movement imageries, even if regardless of the time course of the localization results, instead of only for one male subject. ©2007 IEEE.