%0 Journal Article
%T MEG Sources Localization Based on Independent Component Analysis<br>基于独立元分析的脑磁图源定位
%A MA Jie-ming
%A WANG Bin
%A ZHANG Li-ming
%A <br>马洁铭
%A 王斌
%A 张立明
%J 生物物理学报
%D 2006
%I 
%X In MEG(magnetoencephalographic)sources localization,usually only one or several neural activitation sources are concerned.But,according to the traditional methods such as multiple signal classification(MUSIC)algorithm,all the activitation sources must be localized to reform the signal waveforms to determine the locations of the interested sources.In order to obtain the better localization efficiency,a MEG sources localization method based on independent component analysis was proposed.Experimental results showed that this method could speed up the sources localization and was more robust to the additive noise and artifact interferences.
%K MEG
%K Sources localization
%K Independent component analysis
%K Computational speed
%K Robustness<br>脑磁图
%K 源定位
%K 独立元分析
%K 计算速度
%K 鲁棒性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=21D8DECF9E88F2E6&yid=37904DC365DD7266&vid=BC12EA701C895178&iid=94C357A881DFC066&sid=40862C82D74F7473&eid=7D6CD8918B045FD4&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=12