Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Coupling analysis of epileptic EEG signals based on the multiscale mutual model entropy

Authors
Ning Ji, Jia-Fei Dai, Jun Wang, Feng-Zhen Hou
Corresponding Author
Ning Ji
Available Online April 2016.
DOI
10.2991/ameii-16.2016.127How to use a DOI?
Keywords
multiscale, epileptic, coupling, mutual model entropy
Abstract

The Multiscale Mutual Model Entropy algorithm is presented to quantify the coupling degree between two EEG time series collected at the same time on different scales. We extracted the characteristics of EEG signals from the healthy and epileptics based on the algorithm. The results show that the entropy value of healthy people is higher than that of epileptics. And with the increase of scale, the difference in entropy value between them is more obvious. It indicates that Multiscale Mutual Entropy can distinguish the coupling difference between normal samples and case samples, which is significant for the clinical pathological assessment and brain disease diagnosis.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
10.2991/ameii-16.2016.127
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.127How to use a DOI?
Copyright
© 2016, 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  - Ning Ji
AU  - Jia-Fei Dai
AU  - Jun Wang
AU  - Feng-Zhen Hou
PY  - 2016/04
DA  - 2016/04
TI  - Coupling analysis of epileptic EEG signals based on the multiscale mutual model entropy
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 637
EP  - 642
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.127
DO  - 10.2991/ameii-16.2016.127
ID  - Ji2016/04
ER  -