Multiscale Symbolic Transfer Entropy on Closing Eyes and Being Idle in rhythm of Electroencephalogram
- 10.2991/eia-17.2017.45How to use a DOI?
- multiscale symbolic transfer entropy(MSTE); electroencephalogram (EEG); closing eyes; being idle
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.
- © 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/).
Cite this article
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 -