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/).
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 -