AI-based approach to automatic sleep classification

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.

DOI: 10.1007/BF00203237

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Cite this paper

@article{Kubat1994AIbasedAT, title={AI-based approach to automatic sleep classification}, author={Miroslav Kubat and Gert Pfurtscheller and Doris Flotzinger}, journal={Biological Cybernetics}, year={1994}, volume={70}, pages={443-448} }