关键词: 快速独立分量分析算法, 脑电信号, α波, 信号分离, 特征提取

Abstract: In order to extract the α rhythm effectively and preserve the other information of eyes-closed-EEG signal simultaneously，a novel method，based on the ICA theory，is used to extract the α rhythm.Constructing a series of sine and cosine signals as a reference of α rhythm，take these series signals and EEG signal to be the input of ICA mixing matrix，the fastICA algorithm is adopted to separate the signals，thereby realize the α rhythm extracting from EEG signal，and analyze the power chart of the extracted α rhythm.The frequency of the α rhythm extracted concentrate between 8 Hz and 13 Hz.It shows that the rhythm extracted is correct.And the correlation coefficient between separation signal and original signal is 0.942，it shows that other information is preserved effectively.Using ICA method for α rhythm extracting is effective.

Key words: fast Independent Component Analysis（fastICA）, ElectroEncephaloGraph（EEG） signal, α rhythm, signal separation, character extraction