Sequential Methods for Parametric Discriminant Analysis of the EEG during Sleep

  • L. E. Larsen

Abstract

In previous pattern recognition studies of the human EEG during sleep (Larsen and Walter 1969 and 1970), a method described as a “two-stage machine” was applied in order to improve classification success rates in a training/testing design (Larsen et al. 1971) with spectral based description of the electroencephalogram (EEG). The same notions were applied to chimpanzee EEG sleep data by Larsen et al. (1972 and 1973) with similar results. The method was based on the idea of a layered decision process aimed first at discriminating two aggregates of groups followed by a later discrimination for the groups within each aggregate taken separately. The aggregates of groups were determined on the basis of cross-group clustering in a discriminant space3 of two dimensions. This paper reports further studies on a possible theoretical basis for the efficacy of the two-stage machine as well as a means to determine aggregate structure and when the technique may be profitably employed.

Keywords

Anisotropy Covariance Aniso 

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Copyright information

© Plenum Press, New York 1975

Authors and Affiliations

  • L. E. Larsen
    • 1
  1. 1.Walter Reed Army Institute of ResearchUSA

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