【摘要】 脑电信号是人体的一种基本生理信号,具有重要的临床诊断和治疗价值。由于脑电信号的自身非平稳性随机特点,使得对它的研究成为一项具有相当难度的课题。本文总结了脑电信号的时频、神经网络等处理方法。着重论述Wigner分布、小波分析、神经网络、非线性动力学,以及独立分量在脑电信号处理中的应用。更多还原

【Abstract】 Electroencephalogram (EEG) signal is a kind of basic physiological signal of human body, and it has very important clinical diagnosis and treatment value. Because of the nonstationarity and randomicity of EEG signal, the study on EEG becomes quite difficult. The paper summarizes the time-frequency method, Neural Network and so on in EEG processing. Particularly it discusses the Wigner Distributing(WD),Wavelet Transform(WT),nonlinear dynamic and ICA in the EEG signal processing.更多还原