Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management

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On New Indexes to Judge Synchronization of EEG

Authors
Jing Yan, Jin Zhang, Rulong Wang, Huan Kuang, Ying Wang
Corresponding Author
Jing Yan
Available Online April 2014.
DOI
10.2991/iceeim-14.2014.89How to use a DOI?
Keywords
EEG, Synchronization, Brain Functional Integration, Theoretic Measures, Hilbert transform, Phase Locked Value
Abstract

Synchronization is one of the basic characteristics of EEG, which is of great significance to the study of EEG. But the synchronous evaluation methods of EEG are calculated according to local EEG, it reflects the local state of brain without considering the overall activity of the brain, so this is important for a new synchronous evaluation index of the overall state of the brain. Based on the information theory, this article gives a process of synchronization index from the calculation of ECoG. Using the process, the experimental gets the index IRAA and IMA2 as evaluation index of EEG global synchronization. In order to assess the decision performance of index to the EEG synchronization, carrying out the 3 groups experiment based on the EEG collected in several cognitive tasks. The experimental results show that: (1) the signal processing process proposed is effective to EEG, which are able to more clearly distinguish the EEG synchronization; (2) the IMA2 and IRAA is effective for EEG synchronization judgment; (3) Compared to the values of PLV, IMA2 and IRAA can be more clearly differentiate the synchronization state of EEG, reflecting the global brain activity.

Copyright
© 2014, 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 2014 International Conference on e-Education, e-Business and Information Management
Series
Advances in Intelligent Systems Research
Publication Date
April 2014
ISBN
978-94-6252-007-3
ISSN
1951-6851
DOI
10.2991/iceeim-14.2014.89How to use a DOI?
Copyright
© 2014, 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

risenwbib
TY  - CONF
AU  - Jing Yan
AU  - Jin Zhang
AU  - Rulong Wang
AU  - Huan Kuang
AU  - Ying Wang
PY  - 2014/04
DA  - 2014/04
TI  - On New Indexes to Judge Synchronization of EEG
BT  - Proceedings of the 2014 International Conference on e-Education, e-Business and Information Management
PB  - Atlantis Press
SP  - 312
EP  - 316
SN  - 1951-6851
UR  - https://doi.org/10.2991/iceeim-14.2014.89
DO  - 10.2991/iceeim-14.2014.89
ID  - Yan2014/04
ER  -