AI-based approach to automatic sleep classification |
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| Authors: | Miroslav Kubat Gert Pfurtscheller Doris Flotzinger |
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| Affiliation: | (1) Ludwig-Boltzmann Institute of Medical Informatics and Neuroinformatics, A-8010 Graz, Austria, AT;(2) Department of Medical Informatics, Institute of Biomedical Engineering, Graz University of Technology, Brockmanngasse 41, A-8010 Graz, Austria, AT |
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| 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. Received: 24 May 1993/Accepted in revised form: 8 September 1993 |
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