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

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.