AI-based approach to automatic sleep classification

Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


The primary goal of this paper is to introduce the potential of artificial intelligence (AI) methods to researchers in sleep classification. AI provides learning procedures for the construction of a sleep classifier, prescribing how to combine the observed parameters and how to derive the corresponding decision thresholds. A case study reporting a successful application of an automatic induction of decision trees and of a learning vector quantizer to this domain is presented.

Original languageEnglish (US)
Pages (from-to)443-448
Number of pages6
JournalBiological Cybernetics
Issue number5
StatePublished - Mar 1 1994
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science(all)


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