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

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/).

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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  -