Analysis of the EEG information of rats epileptic model using unstable periodic orbits / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 584-587, 2005.
Article
in Chinese
| WPRIM
| ID: wpr-354245
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Signal Processing, Computer-Assisted
/
Nonlinear Dynamics
/
Entropy
/
Disease Models, Animal
/
Electroencephalography
/
Epilepsy
Limits:
Animals
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2005
Type:
Article
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