Quantification of Spatiotemporal Dynamic Transition of Absence Seizures

摘要：

Epilepsy is a dynamical syndrome of central nervous system and absence seizures is one of the most common types. Absence seizures is characterized as a random process. We reconstruct phase space with filtered EEG digital data of absence seizures. By calculating largest Lyapunov exponents from small data sets and using improved method of calculating short-term maximum Lyapunov exponents (STLmax) and approximate derivative of STLmax etc, we attempt to reveal and quantify the spatiotemporal dynamic transient of absence epilepsy from preictal to ictal stage.

作者: Yi Zhou Yi Zhao Wei Sun Ziyi Chen Liemin Zhou

作者单位: Department of Biomedical Engineering Zhongshan School of Medicine Sun Yat-sen University Guangzhou, School of Mathematics and Computational Science Sun Yat-sen University Guangzhou, China 510275 Department of Neurology the First A±liated Hospital Sun Yat-sen University Guangzhou, China 510080

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）