%0 Journal Article
%T A Support Vector Machine Based Method of Epilepsy Spike and Sharp Waves Recognition in EEG<br>一种基于支持向量机技术的癫痫脑电棘尖波识别方法
%A QIU Tian-shuang
%A ZHENG Xiao-lai
%A BAO Hai-ping
%A ZHAO Geng-shen
%A <br>邱天爽
%A 郑效来
%A 鲍海平
%A 赵庚申
%J 生物物理学报
%D 2005
%I 
%X The support vector machine (SVM) is a new learning machine based on the statistical learning theory. An SVM based method of epilepsy feature extraction and recognition is proposed. The data analysis shows that the SVM is very robust in identification of spike and sharp waves compared with that in back-propagation neural network method.
%K EEG
%K Epilepsy
%K Support vector machine
%K Feature recognition<br>脑电信号
%K 癫痫
%K 支持向量机
%K 特征识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=721C0EA6D601B10B&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=E3094127AA4ABC1A&eid=4AD4BA66429F5627&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=12