Nonlinear Analysis of Electroencephalogram with Different Brain Functions and Its Application
To investigate the nonlinear interaction of electrvencephalograph (EEG signal), bispectral analysis is used for the study of clinical EEG in different brain functions. The parametric bispectral estimation is proposed in the paper for the purpose of extracting the nonlinear information beyond second order statistics or power spectra involved in the EEG. The EEG signal with normal subjects ubder different brain functional states and the abnormal EEG are analyzed in terms of the bispectral structure. The experimental results show that all spontanuous EEG exhibit obvious quadratic nonlinear interactions presence among the rhythms, but the bispectral pattern of the EEG changes with different functional suites of brain.
Bispectral estimation EEG signal processing nonlinear analysis.
Shen Minfen Sun Lisha J.H.Ting Congtao Xu
Scientific Research Department, Shantou University, Guangdong 515063, China Biomedical Engineering Center, The University of Hong Kong, Hong Kong Mental Health Center, Shantou University, China
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1321-1326
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）