Multiscale Symbolic Transfer Entropy on Closing Eyes and Being Idle in rhythm of Electroencephalogram

DOI

10.2991/eia-17.2017.45How to use a DOI?

Keywords

multiscale symbolic transfer entropy(MSTE); electroencephalogram (EEG); closing eyes; being idle

Abstract

As we all know, electroencephalogram (EEG) is an effective tool to analyze many disease, epilepsy, for example. According to the latest research, we have found out that the value of multiscale symbolic transfer entropy (MSTE) on closing eyes and being idle differs but there is a question still, what exactly makes this difference? Therefore, we analyze different rhythm of EEG and finally we draw this conclusion: the value of MSTE on closing eyes and being idle differs exactly in the rhythm of EEG. With this conclusion, we can catch the dynamic information much more convenient and accurately.

Copyright

© 2017, 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  - Lizhao DU
AU  - Wenpo YAO
AU  - Xiaolin HUANG
AU  - Jun WANG
PY  - 2017/07
DA  - 2017/07
TI  - Multiscale Symbolic Transfer Entropy on Closing Eyes and Being Idle in rhythm of Electroencephalogram
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 209
EP  - 211
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.45
DO  - 10.2991/eia-17.2017.45
ID  - DU2017/07
ER  -