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Single Trial Discrimination between Right and Left Hand Movement-Related EEG Activity

  • Sunyoung Cho
  • Jung Ae Kim
  • Dong-Uk Hwang
  • Seung Kee Han
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3036)

Abstract

We propose an EEG-based discrimination method for the right/left hand movement in a single trial. The EEG was recorded during the voluntary movement and imagination of the hand movement. We made a feature vector for every second that represents the characteristics to reflect the process of the right/left movement. It was composed of the ERD, ERS patterns of the mu and beta rhythm and the coefficients of the autoregressive model best fitting for the data of the given period. Linear discrimination of their distributions in the vector space classified the right/left hand movement-related EEG activity efficiently.

Keywords

Feature Vector Recognition Rate Hand Movement Autoregressive Model Movement Onset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Sunyoung Cho
    • 1
  • Jung Ae Kim
    • 2
  • Dong-Uk Hwang
    • 2
  • Seung Kee Han
    • 1
    • 2
  1. 1.Basic Science Research InstituteChungbuk National UniversityCheongjuKorea
  2. 2.Department of PhysicsChungbuk National UniversityCheongjuKorea

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