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AI-based approach to automatic sleep classification
M Kubat1, G Pfurtscheller, D Flotzinger
1Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatics, Graz, Austria.
Biological Cybernetics
|January 1, 1994
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.