• DocumentCode
    2172154
  • Title

    Designing spatial filters based on neuroscience theories to improve error-related potential classification

  • Author

    Sandra, Rousseau ; Christian, Jutten ; Marco, Congedo

  • Author_Institution
    DIS, Gipsa-Lab., Grenoble University, St. Martin d´´Hères, France
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper we present an experiment enabling the occurrence of the error-related potential in high cognitive load conditions. We study the single-trial classification of the error-related potential and show that classification results can be improved using specific spatial filters designed with the aid of neurophysiological theories on the error-related potential.
  • Keywords
    medical signal processing; neurophysiology; signal classification; spatial filters; cognitive load condition; error-related potential classification; neurophysiological theory; neuroscience theory; single-trial classification; spatial filter; Accuracy; Bars; Electric potential; Electrodes; Estimation; Noise; Standards; BCI; error-related potential; single-trial classification; spatial filtering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
  • Conference_Location
    Santander
  • ISSN
    1551-2541
  • Print_ISBN
    978-1-4673-1024-6
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2012.6349740
  • Filename
    6349740
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2172154