AI-based approach to automatic sleep classification View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-03

AUTHORS

Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger

ABSTRACT

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. More... »

PAGES

443-448

References to SciGraph publications

  • 1987-12. A model-based monitor of human sleep stages in BIOLOGICAL CYBERNETICS
  • 1986-03. Induction of decision trees in MACHINE LEARNING
  • 1991. Analysis of Sleep Patterns in Babies Using Neural Networks — Preliminary Results in MEDICAL INFORMATICS EUROPE 1991
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bf00203237

    DOI

    http://dx.doi.org/10.1007/bf00203237

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011246210

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/8186305


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