Analysis of the EEG information of rats epileptic model using unstable periodic orbits.
- Author:
Minguang XU
1
;
Peng XIA
;
Boyuan YU
;
Jiqing YANG
;
Wei YAN
;
Baoyue QIU
;
Shen CHEN
;
Xueying GUO
Author Information
1. Department of Medical Engineering, The Second Artillery General Hospital, Beijing 100088, China. vxmg@163.com
- Publication Type:Journal Article
- MeSH:
Animals;
Disease Models, Animal;
Electroencephalography;
Entropy;
Epilepsy;
physiopathology;
Nonlinear Dynamics;
Rats;
Signal Processing, Computer-Assisted
- From:
Journal of Biomedical Engineering
2005;22(3):584-587
- CountryChina
- Language:Chinese
-
Abstract:
In order to further research into the EEG information of rats epileptic model, we applied different nonlinear dynamic methods. After having analyzed the EEG signal of rat falling sickness by means of approximate entropy and correlation dimension, we adopted a the new method, unstable periodic orbits, which was used to analyze complex activity of neurons system to look for the change regularity of change in the EEG signal in the whole course of rat's falling sickness. We found period 1 orbits and period 2 orbits to be statistically significant in the data of ictal time of epilepsy. At the same time, we found period 1 orbits to be statistically significant in the data of preictal time of epilepsy.
