EEG数据的李氏指数计算与主成份分析  

Lyapunov Exponents Calculation and Principal Components Analysis of EEG Data

作　　者：蔡聪波[1] 徐慎初[1] 陈振湘[1] 钟金水[1] 

机构地区：[1]厦门大学物理学系,福建厦门361005

出　　处：《厦门大学学报（自然科学版）》2001年第5期1034-1039,共6页Journal of Xiamen University：Natural Science

基　　金：福建省科技计划资助项目 (98- H- 2 8)

摘　　要：采用新的经验公式计算 EEG数据的 L yapunov指数 ;其中在脑电低维假设下先求出关联维作为拓扑维以确定重构维数 ,计算结果以采样频率定标 .还对 EEG数据进行主成份分析 。The largest Lyapunov exponents were calculated by using new exper iential formula from EEG data. The reconstruction dimension was calculated by ch oosing the correlation dimension as the topologic dimension under the low dimens ion hypothesis of EEG. The calculated results were scaled by producing sampling frequency. The principal component analysis was also provided. Meanwhile the pot ential significance of above calculation and analysis were predicted.

关 键 词：EEG 最大LYAPUNOV指数 关联维 主成份分析 脑电波数据 混沌动力学 

分 类 号：R741.044[医药卫生—神经病学与精神病学] R311[医药卫生—临床医学]