2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

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
https://doi.org/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.
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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
DOI
https://doi.org/10.2991/icsem.2013.194How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/icsem.2013.194
DO  - https://doi.org/10.2991/icsem.2013.194
ID  - Chang2013/04
ER  -