• DocumentCode
    2372826
  • Title

    Estimating level of alertness from EEG

  • Author

    Jung, Tzyy-Ping ; Makeig, Scott

  • Author_Institution
    Comput. Neurobiol. Lab., Salk Inst., La Jolla, CA, USA
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1103
  • Abstract
    Changes in EEG power collected at two sites from 10 subjects accompany slow and irregular fluctuations in alertness level. By merging power spectrum estimation, principal component analysis, and artificial neural networks, it is very feasible to accurately estimate shifts in an operator´s level of alertness
  • Keywords
    electroencephalography; EEG; EEG power; alertness level estimation; artificial neural networks; auditory signals; irregular fluctuations; operator; power spectrum estimation; principal component analysis; slow fluctuations; three level perceptrons; two level perceptrons; Acoustic noise; Artificial neural networks; Background noise; Electroencephalography; Error analysis; Fluctuations; Frequency; Principal component analysis; Probes; Spectral analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415344
  • Filename
    415344