Chaos analysis of electro encephalography and control of seizure attack of epilepsy patients

被引：12
作者：
Yambe, T
Asano, E
Mauyama, S
Shiraishi, Y
Shibata, M
Sekine, K
Watanabe, M
Yamaguchi, T
Shibata, M
Kuwayama, T
Konno, S
Nitta, S
机构：
[1] Tohoku Univ, Inst Dev Aging & Canc, Dept Med Engn & Cardiol, Aoba Ku, Sendai, Miyagi 98077, Japan
[2] Wayne Univ, Childrens Hosp Michigan, Wayne, NJ USA
[3] Tohoku Univ, Inst Fluid Sci, Tohoku, Japan
来源：
BIOMEDICINE & PHARMACOTHERAPY | 2005年 / 59卷
关键词：
EEG; epilepsy; chaos; KS entropy; Peltier elements;
D O I：
10.1016/S0753-3322(05)80038-1
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
In order to evaluate the EEG of patients with epilepsy, chaos analysis was performed for the subdural EEG time series data. The chaos attractor was reconstructed in the phase space and the correlation dimension. KS entropy calculated from the Lyapunov exponents was evaluated. Before the seizure attack, the KS entropy showed a lower value when compared with the time series data recorded during healthy condition. The results of our study suggest that it is possible to predict the seizure attack by the chaos analysis of the EEG signal, Further, we aim at developing an automatic control system for predicting a seizure attack by the use of local cooling of the focus with Peltier elements. (c) 2005 Elsevier SAS. All rights reserved.
引用
收藏
页码：S236 / S238
页数：3
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