Symbolic transfer entropy analyzed sleep electroencephalogram
Authors
Ruijun Chang, Liu Yang, Qiuping Chen, Jun Wang
Corresponding Author
Ruijun Chang
Available Online March 2013.
- DOI
- 10.2991/icibet.2013.283How to use a DOI?
- Abstract
The quality of sleep has a great relation-ship 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 the wave of the 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 classifi-cation.
- 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 - 2013/03 DA - 2013/03 TI - Symbolic transfer entropy analyzed sleep electroencephalogram BT - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) PB - Atlantis Press SP - 1303 EP - 1307 SN - 1951-6851 UR - https://doi.org/10.2991/icibet.2013.283 DO - 10.2991/icibet.2013.283 ID - Chang2013/03 ER -