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.
语种：
外文
WOS：
第一作者：
第一作者机构：[1]Tian Tan Hosp, Dept Anesthet, Beijing, Peoples R China
通讯作者：
通讯机构：[1]Tian Tan Hosp, Dept Anesthet, Beijing, Peoples R China
推荐引用方式(GB/T 7714)：
Jia WY,Wang BG,Cao HY,et al.Using nonlinear dynamical approaches of EEG signals to characterize anesthetic states[J].IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2.2000,652-653.
APA：
Jia, WY,Wang, BG,Cao, HY,Li, Y,Qin, Q...&Kai, OY.(2000).Using nonlinear dynamical approaches of EEG signals to characterize anesthetic states.IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2,,
MLA：
Jia, WY,et al."Using nonlinear dynamical approaches of EEG signals to characterize anesthetic states".IEEE-EMBS ASIA PACIFIC CONFERENCE ON BIOMEDICAL ENGINEERING - PROCEEDINGS, PTS 1 & 2 .(2000):652-653
