• DocumentCode
    1631197
  • Title

    Single channel eye-blinking artifacts detection

  • Author

    Vareka, Lukas ; Bruha, Petr ; Moucek, Roman

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of West Bohemia, Pilsen, Czech Republic
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For neurophysiological data sharing, it is vital for researchers to validate their data from different perspectives. Detection of eye artifacts is especially important since the artifacts may distort the data to an unacceptable extent. Most methods for their correction either require EOG channels or they are very time consuming. This paper proposes a fast method that does not require EOG channels. It outperforms amplitude-based methods in accuracy and Independent Component Analysis in computational complexity.
  • Keywords
    biomechanics; computational complexity; electroencephalography; eye; independent component analysis; medical signal detection; medical signal processing; neurophysiology; EOG channel; amplitude-based method; computational complexity; independent component analysis; neurophysiological data sharing; single channel eye-blinking artifact detection; Correlation; Electrodes; Electroencephalography; Electrooculography; Light emitting diodes; Portals; Visualization; artifacts; correlation; electroencephalography; neuroinformatics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Electronics (AE), 2013 International Conference on
  • Conference_Location
    Pilsen
  • ISSN
    1803-7232
  • Print_ISBN
    978-80-261-0166-6
  • Type

    conf

  • Filename
    6636539