Multiscale Symbolic Transfer Entropy (MSTE) Analysis in Closing Eyes and Being Idle
Authors
Lizhao Du, Wenpo Yao, Jun Wang
Corresponding Author
Lizhao Du
Available Online September 2017.
- DOI
- 10.2991/icmmcce-17.2017.139How to use a DOI?
- Keywords
- Multiscale symbolic transfer entropy; closing eyes; idle; EEG
- Abstract
It's impressive to learn about how our minds work. In this work, we have discovered that when a person closes his or her eyes, the value of multiscale symbolic transfer entropy(MSTE) [1] of electroencephalogram (EEG, Lead Fp1 and Fp2) grows larger. In other words, the coupling of Lead Fp1 and Fp2 is more significant when the experimenter closes his or her eyes, and we can capture the dynamic information and the its change more easily, which is useful for BCI and other practical uses.
- 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/).
Cite this article
TY - CONF AU - Lizhao Du AU - Wenpo Yao AU - Jun Wang PY - 2017/09 DA - 2017/09 TI - Multiscale Symbolic Transfer Entropy (MSTE) Analysis in Closing Eyes and Being Idle BT - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017) PB - Atlantis Press SP - 771 EP - 775 SN - 2352-5401 UR - https://doi.org/10.2991/icmmcce-17.2017.139 DO - 10.2991/icmmcce-17.2017.139 ID - Du2017/09 ER -