%0 Journal Article
%T CLASSIFICATION METHOD OF DYNAMIC ELECTRO CARDIOGRAM(DECG) BASED ON WAVELETS & NEURAL NETWORK<br>基于小波和神经网络的动态心电波形分类新方法
%A DING Xing-hao
%A DENG Shan-xi
%A ZHAO Qian-cheng
%A <br>丁兴号
%A 邓善熙
%A 赵前程
%J 生物物理学报
%D 2003
%I 
%X A new classification method of DECG based on wavelets and neural network was proposed. Through wavelets analysis, the DECG general characteristics were picked up. Then the DECG general characteristics were input into the neural network (NN) for classification. The traditional BP algorithm for neural network was also improved. The experiments, by the test of 6 types of DECG from MIT database, show that the method proposed is not only simple, but also has high anti-noise ability, and the improved BP algorithm is efficiency.
%K Wavelet analyze
%K Dynamic electro candiogram(DECG)
%K Neural network<br>小波分析
%K 动态心电波形（DECG）
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=DECE0134B9AE213C&yid=D43C4A19B2EE3C0A&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=8E6AB9C3EBAAE921&eid=11B4E5CC8CDD3201&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=1&reference_num=7