Sleep electroencephalogram analysis based on symbolic transfer entropy

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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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  -