Analysis of Beta Wave Epileptic EEG Signals Based on Symbolic Transfer Entropy

DOI

10.2991/aiie-15.2015.107How to use a DOI?

Keywords

symbolic transfer entropy; beta wave; epileptic EEG; detection; prediction

Abstract

Epilepsy is a common neurological diseases caused by abnormal discharge of neurons in the brain. the attack is sudden and repeated characteristics. Therefore, in order to advance seizure prediction has important meaning for patients to take timely measures in this paper, the seizures in patients with EEG by using the method of symbolic transfer entropy are research and analysis, Through the EEG signal of epilepsy patients during attack and normal human alpha wave is extracted, By using the method of symbolic transfer entropy for analysis and research, Prior to the transfer characteristics which have been analyzed under entropy alpha wave component, this paper starts from beta wave components.then make a study by using the method of symbolic transfer entropy, the study found that using this method can differentiate the normal EEG and EEG in patients with epilepsy, Also found that the existence of nonlinear large amount of time series of EEG. This method is also proved symbolic transfer entropy based algorithm can be used to analyze the EEG signals fully, reveals the difference between epileptic EEG and normal EEG, clinical contribution made certain detection and prediction of epilepsy.

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  - X. Ye
AU  - T. Tian
AU  - T.P. Xu
AU  - J. Wang
PY  - 2015/07
DA  - 2015/07
TI  - Analysis of Beta Wave Epileptic EEG Signals Based on Symbolic Transfer Entropy
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 391
EP  - 394
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.107
DO  - 10.2991/aiie-15.2015.107
ID  - Ye2015/07
ER  -