Annals of Biomedical Engineering

, Volume 34, Issue 6, pp 1051–1060 | Cite as

User Customization of the Feature Generator of an Asynchronous Brain Interface

  • Ali Bashashati
  • Mehrdad Fatourechi
  • Rabab K. Ward
  • Gary E. Birch
Original Article

A study that customizes the feature generator parameters of an asynchronous Brain Interface (BI) is discussed. The goal is to detect the presence of a certain pattern, in the ongoing EEG, associated with a specific movement and to improve the system's performance. Results of this study show that customization mostly benefits able-bodied subjects with performance improvements of up to 6.8%. We evaluate the performance of our BI using stratified cross-validation scheme. This scheme repeats the analysis on the different cross-validation sets. It is shown that the performances of the system across the different sets are very similar. Thus, we conclude that a robust performance measure of the system can be obtained by using only one of these performance results.

Keywords

Brain computer interface BI EEG BI customization Asynchronous BI 

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • Ali Bashashati
    • 1
    • 2
  • Mehrdad Fatourechi
    • 1
  • Rabab K. Ward
    • 1
    • 3
  • Gary E. Birch
    • 1
    • 2
  1. 1.Department of Electrical and Computer EngineeringUniversity of British ColumbiaVancouverCanada
  2. 2.Department of Electrical and Computer EngineeringUniversity of British ColumbiaVancouverCanada
  3. 3.Neil Squire SocietyBurnabyCanada
  4. 4.Institute for Computing, Information and Cognitive SystemsVancouverCanada

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