Using nonlinear dynamical approaches of EEG signals to characterize anesthetic states

被引：0
|
作者：
Jia, WY [1 ]
Wang, BG [1 ]
Cao, HY [1 ]
Li, Y [1 ]
Qin, Q [1 ]
Zhang, G [1 ]
Kai, OY [1 ]
机构：
[1] Tian Tan Hosp, Dept Anesthet, Beijing, Peoples R China
来源：
IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2 | 2000年
关键词：
EEG; anesthetic states; approximate entropy(ApEn); complexity; scattergram;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
In this paper, several nonlinear dynamical methods (Approximate entropy, complexity, scattergram) were used to analyze the patients' EEG signals which were recorded when the patients were undergoing general anesthesia. The nonlinear dynamical methods were proved feasible to identify anesthetic states and some existed problems were discussed.
引用
收藏
页码：652 / 653
页数：2
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