Sleep classification with a combination of symbolic learning and learning vector quantization

Gert Pfurtscheller; Doris Flotzinger; Miroslav Kubat

doi:10.1109/IEMBS.1992.5761661

Sleep classification with a combination of symbolic learning and learning vector quantization

Gert Pfurtscheller, Doris Flotzinger, Miroslav Kubat

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Besides statistical methods, various Artificial Intelligence approaches can be used for sleep classification. Learning vector quantization (LVQ) and the top-down induction of decision trees (TDIDT) were applied on 8-hour sleep data from infants. It was shown that with a combination of TDIDT and LVQ the input dimension of the LVQ can be reduced without decreasing the classification accuracy. Classification accuracy was between 67 and 76%, depending on the infant.

Original language	English (US)
Title of host publication	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Editors	Robert Plonsey, Jean Louis Coatrieux, Jean Pierre Morucci, Swamy Laxminarayan
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2748-2749
Number of pages	2
ISBN (Electronic)	0780307852
DOIs	https://doi.org/10.1109/IEMBS.1992.5761661
State	Published - 1992
Externally published	Yes
Event	14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France Duration: Oct 29 1992 → Nov 1 1992

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	6
ISSN (Print)	1557-170X

Conference

Conference	14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Country/Territory	France
City	Paris
Period	10/29/92 → 11/1/92

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.1992.5761661

Cite this

Pfurtscheller, G., Flotzinger, D., & Kubat, M. (1992). Sleep classification with a combination of symbolic learning and learning vector quantization. In R. Plonsey, J. L. Coatrieux, J. P. Morucci, & S. Laxminarayan (Eds.), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 (pp. 2748-2749). [5761661] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMBS.1992.5761661

Sleep classification with a combination of symbolic learning and learning vector quantization. / Pfurtscheller, Gert; Flotzinger, Doris; Kubat, Miroslav.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. ed. / Robert Plonsey; Jean Louis Coatrieux; Jean Pierre Morucci; Swamy Laxminarayan. Institute of Electrical and Electronics Engineers Inc., 1992. p. 2748-2749 5761661 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 6).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pfurtscheller, G, Flotzinger, D & Kubat, M 1992, Sleep classification with a combination of symbolic learning and learning vector quantization. in R Plonsey, JL Coatrieux, JP Morucci & S Laxminarayan (eds), Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992., 5761661, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 6, Institute of Electrical and Electronics Engineers Inc., pp. 2748-2749, 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992, Paris, France, 10/29/92. https://doi.org/10.1109/IEMBS.1992.5761661

Pfurtscheller G, Flotzinger D, Kubat M. Sleep classification with a combination of symbolic learning and learning vector quantization. In Plonsey R, Coatrieux JL, Morucci JP, Laxminarayan S, editors, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 2748-2749. 5761661. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.1992.5761661

Pfurtscheller, Gert ; Flotzinger, Doris ; Kubat, Miroslav. / Sleep classification with a combination of symbolic learning and learning vector quantization. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992. editor / Robert Plonsey ; Jean Louis Coatrieux ; Jean Pierre Morucci ; Swamy Laxminarayan. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 2748-2749 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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Sleep classification with a combination of symbolic learning and learning vector quantization

Abstract

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