Single trial detection of human movement intentions from SAM-Filtered MEG signals for a high performance two-dimensional BCI Conference

Battapady, H, Lin, P, Fei, DY et al. (2009). Single trial detection of human movement intentions from SAM-Filtered MEG signals for a high performance two-dimensional BCI . 524-527. 10.1109/IEMBS.2009.5333632

cited authors

  • Battapady, H; Lin, P; Fei, DY; Huang, D; Bai, O

fiu authors

abstract

  • The objective of this research is to explore whether a two-dimensional BCI can be achieved by reliably decoding single-trial magneto-encephalography (MEG) signal associated with sustaining or ceasing right and left hand movements. Seven naïve subjects participated in the study. Signals were recorded from 275-channel MEG and synthetic aperture magnetometry (SAM) was employed. The multi-class classification for four-directional control was evaluated offline from 10-fold cross-validation using direct-decision tree classifier and genetic algorithm based Mahalanobis linear distance. Beta band (15-30Hz) event-related desynchronization and event related synchronization were observed in right and left hand movement related motor areas for physical movements as well as motor imagery. The cross-validation accuracy for the proposed four-direction classification from SAM- filtered MEG signal was as high as 95-97% for physical movements and 86-87% for motor imagery. The high classification accuracy suggests that a reliable high performance two-dimensional BCI can be achieved from single trial detection of human natural movement intentions from SAM-filtered MEG signals, where user may not need extensive training. ©2009 IEEE.

publication date

  • January 1, 2009

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

  • 9781424432967

start page

  • 524

end page

  • 527