Nonlinear analysis on the EEG information of rat epileptic model / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 511-514, 2003.
Article
in Chinese
| WPRIM
| ID: wpr-312941
ABSTRACT
The aim of this study was to develop a new method of epileptic prediction using nonlinear dynamic theory. When rat was falling sickness, its EEG was researched by using approximate entropy and correlation dimension. The results showed the approximate entropy and correlation dimension during epileptic seizure are obviously lower than those before seizure and after seizure. The span of time before seizure is a special phase. Before the seizure symptom appeared, the complexity of EEG had begun declining. Thus, the outbreak of epilepsy could be predicted in short time using nonlinear dynamic methods.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Signal Processing, Computer-Assisted
/
Rats, Sprague-Dawley
/
Nonlinear Dynamics
/
Entropy
/
Diagnosis
/
Disease Models, Animal
/
Electroencephalography
/
Epilepsy
Type of study:
Diagnostic study
/
Prognostic study
Limits:
Animals
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2003
Type:
Article
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