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EEG signals and the fast choice of the optimal parameters of support vector machines ; and realized the detection of
P300 component with support vector machines , which have a good classification performance. The algorithm was
tested with a P300 dataset from the BCI competition 2003. The results showed that the algorithm designed in this
paper was superior to the traditional support vector machines algorithms in terms of the training and detection speed.
Using this algorithm , we achieved an accuracy of 100 % in P300 detection within five repetitions.
Key words :brain computer interface ; P300 ; wavelet decomposition ; support vector machines
中图分类号 R318 08 文献标识码 A 文章编号 0258 8021(2007) 06 0804 06
殊诱发电位 ,是对掺杂在一系列事件无关刺激中的
相对稀少的事件有关刺激的反应。 是一个发
引言 P300
生在刺激后约 300ms 时刻的正电位成分 , 一般在
脑 —机接口 (brain —computer interface ,BCI) 是在 oddball 实验模式下诱发产生。在此实验模式中 ,受
人脑与计算机或其它电子设备之间建立的直接交流