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, Swamy Laxminarayan, Jean Louis Coatrieux, Jean Pierre Morucci |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2748-2749 |
| Number of pages | 2 |
| ISBN (Electronic) | 0780307852 |
| DOIs | |
| State | Published - Jan 1 1992 |
| 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 | France |
| City | Paris |
| Period | 10/29/92 → 11/1/92 |
Fingerprint
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
Cite this
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; Swamy Laxminarayan; Jean Louis Coatrieux; Jean Pierre Morucci. 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
}
TY - GEN
T1 - Sleep classification with a combination of symbolic learning and learning vector quantization
AU - Pfurtscheller, Gert
AU - Flotzinger, Doris
AU - Kubat, Miroslav
PY - 1992/1/1
Y1 - 1992/1/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84947002207&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.1992.5761661
DO - 10.1109/IEMBS.1992.5761661
M3 - Conference contribution
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2748
EP - 2749
BT - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
A2 - Plonsey, Robert
A2 - Laxminarayan, Swamy
A2 - Coatrieux, Jean Louis
A2 - Morucci, Jean Pierre
PB - Institute of Electrical and Electronics Engineers Inc.
ER -