%0 Journal Article
%T Channel selection in single-trial evoked potentials estimation<br>通道选择对诱发脑电单次提取精度影响的研究
%A GUAN Jin-an
%A CHEN Ya-guang
%A <br>官金安
%A 陈亚光
%J 计算机应用
%D 2006
%I 
%X Adopting the "Imitating-natural-reading" elicited potentials as carriers between brain and computer,the evoked potentials were extracted by support vector machines.Taking the signals from the four EEG recordings as features and setting the time length of signal in a trial as 300ms,the classification rates were tested on average with three time intervals,namely,100ms~400ms,200ms~500ms,and 300ms~600ms,for every subject respectively,and got the best classification accuracy of 95.9%(subject M),94.3%(subject H),and 93.8%(subject T) in three subjects respectively.The results are good to simplifying the design of our BCI.
%K Visual Evoked Potentials(VEP)
%K Brain-Computer Interface(BCI)
%K single-trial estimation
%K Support Vector Machines(SVM)<br>诱发电位
%K 脑-机接口
%K 单次提取
%K 支持向量机
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B16F0E879EF7EBFC&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=274950DACC45EFF5&eid=C8B07D2649102CD1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8