Multiscale Symbolic Transfer Entropy (MSTE) Analysis in Closing Eyes and Being Idle

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/).

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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  -