AI-BASED APPROACH TO AUTOMATIC SLEEP CLASSIFICATION

Authors
KUBAT M PFURTSCHELLER G FLOTZINGER D
Citation
M. Kubat et al., AI-BASED APPROACH TO AUTOMATIC SLEEP CLASSIFICATION, Biological cybernetics, 70(5), 1994, pp. 443-448
Citations number
20
Categorie Soggetti
Computer Science Cybernetics","Biology Miscellaneous
Journal title
Biological cybernetics → ACNP
ISSN journal
03401200
Volume
70
Issue
5
Year of publication
1994
Pages
443 - 448
Database
ISI
SICI code
0340-1200(1994)70:5<443:AATASC>2.0.ZU;2-C
Abstract
The primary goal of this paper is to introduce the potential of artifi cial intelligence (AI) methods to researchers in sleep classification. AI provides learning procedures for the construction of a sleep class ifier, prescribing how to combine the observed parameters and how to d erive 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.