• DocumentCode
    1433078
  • Title

    Automated assessment of vigilance using committees of radial basis function analysers

  • Author

    Roberts, S. ; Rezek, I. ; Everson, R. ; Stone, H. ; Wilson, S. ; Alford, C.

  • Author_Institution
    Dept. of Eng. Sci., Oxford Univ., UK
  • Volume
    147
  • Issue
    6
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    The analysis of human vigilance (in terms of the level of subject alertness) on the basis of a small number of physiological measures is considered, Results from an initial feature selection phase are shown and the prediction of the human scoring process using committees of radial basis function (RBF) classifiers is considered. Comparative results are shown for regression-based and classification-based analysis on a sample of representative data sets
  • Keywords
    electroencephalography; medical signal processing; radial basis function networks; EEG analysis; automated vigilance assessment; classification-based analysis; human scoring process prediction; human vigilance; initial feature selection phase; physiological measures; radial basis function analysers committees; regression-based analysis; representative data sets; subject alertness;
  • fLanguage
    English
  • Journal_Title
    Science, Measurement and Technology, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2344
  • Type

    jour

  • DOI
    10.1049/ip-smt:20000844
  • Filename
    899986