Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)

Sleep electroencephalogram analysis based on symbolic transfer entropy

Authors
Ruijun Chang, Liu Yang, Qiuping Chen, Jun Wang
Corresponding Author
Ruijun Chang
Available Online April 2013.
DOI
10.2991/icsem.2013.194How to use a DOI?
Keywords
EEG, symbolic transfer entropy, sleep stage classification
Abstract

The quality of sleep has a great relationship with health. The result of sleep stage classification is an important indicator to measure the quality of sleep. It was found that the symbolic transfer entropy about wake and the first stage of non-rapid eye movement sleep reflect on the changes of sleep stage. And it was confirmed by T test and multi-samples experiments. The symbolic transfer entropy can apply into automatic sleep stage classification. By Multi-parameter analysis it could achieve a higher accuracy of sleep stage classification.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
10.2991/icsem.2013.194How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ruijun Chang
AU  - Liu Yang
AU  - Qiuping Chen
AU  - Jun Wang
PY  - 2013/04
DA  - 2013/04
TI  - Sleep electroencephalogram analysis based on symbolic transfer entropy
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 930
EP  - 933
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.194
DO  - 10.2991/icsem.2013.194
ID  - Chang2013/04
ER  -