Analysis of Sleep Signals Based on Permutation Symbolic Transfer Entropy

DOI

10.2991/eeeis-17.2017.51How to use a DOI?

Keywords

Symbolic Transfer Entropy; Permutation Entropy; Sleep Signals

Abstract

Abstract.In this paper, we use the method of permutation entropy symbolization to symbolize the original data. It mainly uses the size relation of the adjacent data to symbolize the original data, preserves the details of the original data, and overcomes the problem that global static symbolization method will lose the details of original data. In the paper, the symbolic transfer entropy based on permutation entropy symbolization is applied to the analysis of the sleep signal, and the method is compared with the method of symbolic transfer entropy based on quantization, and the following experimental results obtained are as follows: (1)The coupling of heart and brain in awake stage is stronger than that of first stage of non-rapid eye movement sleep. (2)Both in awake stage and first stage of non-rapid eye movement sleep, the coupling from brain to heart is stronger than the coupling from the heart to brain. (3)Using the symbolic transfer entropy method based on permutation entropy symbolization, we can get the conclusion (1) and the conclusion (2) for each data, and the method based on quantization can not fully derive the above conclusion, which is not applicable for some experimental data items. The results of the above experiments show that the symbolic transfer entropy method based on permutation entropy symbolization can obtain the better effect in the analysis of the coupling of EEG and ECG signal of sleep, which is more suitable for the clinical application.

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  - Jun MIN
AU  - Jun WANG
PY  - 2017/09
DA  - 2017/09
TI  - Analysis of Sleep Signals Based on Permutation Symbolic Transfer Entropy
BT  - Proceedings of the 3rd Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017)
PB  - Atlantis Press
SP  - 365
EP  - 371
SN  - 2352-5401
UR  - https://doi.org/10.2991/eeeis-17.2017.51
DO  - 10.2991/eeeis-17.2017.51
ID  - MIN2017/09
ER  -