%0 Journal Article
%T Application of HHT to different mental tasks in EEG analysis<br>HHT方法在不同思维作业脑电信号分析中的应用
%A AI Ling-mei
%A LI YingCollege of Computer Science
%A Shaanxi Normal University
%A Xi''an Shaanxi China
%A <br>艾玲梅
%A 李营
%J 计算机应用
%D 2008
%I 
%X The non-linear, non-stationary signal processing method named Hilbert-Huang Transformation (HHT) and its characteristics were introduced, and it was applied to the different mental tasks in EEG analysis. The results indicate that different mental tasks in EEG have different Hilbert-Huang spectrums and Hilbert marginal spectrums, which proves HHT to be a feasible method on EEG analysis.
%K Hilbert-Huang Transform(HHT)
%K EEG
%K Hilbert marginal spectrum<br>希尔波特.黄变换
%K 脑电信号
%K Hilbert边际谱
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=50DDB0B9AF90542A5D6FB3C6CE31E160&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=DCEC7F681FD458B7&eid=BD94C673B68A7261&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=7