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Independent Component Analysis for EEG Data Preprocessing - Algorithms Comparison

  • Izabela Rejer
  • Paweł Górski
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8104)

Abstract

Some scientific papers report that when Independent Component Analysis (ICA) is applied in the preprocessing step of designing a brain computer interface, the quality of this interface increases. At the same time, however, these papers do not provide information about the exact gain in classification precision obtained after applying different ICA algorithms. The aim of this paper is to compare three algorithms for Independent Component Analysis applied in the process of creating a brain computer interface in order to find out whether the choice of a specific ICA algorithm has an influence on the final classification precision of this interface. The comparison will be carried out with a set submitted to the second BCI Competition.

Keywords

Brain Computer Interface BCI EEG preprocessing ICA Independent Component Analysis 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Izabela Rejer
    • 1
  • Paweł Górski
    • 1
  1. 1.Faculty of Computer ScienceWest Pomeranian University of Technology, SzczecinSzczecinPoland

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