Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering

Epilepsy signals of each band analysis based on the average phase-synchronization time matrix

Authors
Yonghua Li, Jiafei Dai, Jun Wang, Fengzhen Hou
Corresponding Author
Yonghua Li
Available Online December 2015.
DOI
10.2991/icmse-15.2015.322How to use a DOI?
Keywords
Epilepsy, phase synchronization, APSTM, EEG
Abstract

This paper studied the epilepsy signal in different frequency bands based on the average phase-synchronization time matrix (APSTM). APSTM algorithm can probe the change in the synchrony of the underlying system with high sensitivity, and be applied to multichannel, nonlinear time series in noisy. This paper uses the EEG filter provided by the EEGLAB to extract the four common waves : theta, alpha, beta and gamma, which are from the normal and epilepsy EEG signals. The four frequency bands of EEG signals are analysed based on the APSTM algorithm, and the results show that the APSTM determinant can distinguish the epilepsy from the normal EEG signals clearly. And when APSTM determinant detects epileptic discharge ,the theta wave is the most significant, and the beta wave can only generally detect epileptic discharge, while alpha and gamma waves are ineffective.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-137-7
ISSN
2352-5401
DOI
10.2991/icmse-15.2015.322How to use a DOI?
Copyright
© 2015, 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  - Yonghua Li
AU  - Jiafei Dai
AU  - Jun Wang
AU  - Fengzhen Hou
PY  - 2015/12
DA  - 2015/12
TI  - Epilepsy signals of each band analysis based on the average phase-synchronization time matrix
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1781
EP  - 1784
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.322
DO  - 10.2991/icmse-15.2015.322
ID  - Li2015/12
ER  -