CLASSIFICATION METHOD OF DYNAMIC ELECTRO CARDIOGRAM(DECG) BASED ON WAVELETS & NEURAL NETWORK
基于小波和神经网络的动态心电波形分类新方法

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.