应用神经网络的理论对动态心电信号模式分类的研究

RESEARCH ON PATTERN CLASSIFICATION OF DCG BASED ON NN

本文主要讨论基于神经网络的模式分类方法,首先针对原始心跳信号,进行有效的滤噪,使得在特征空间中把真正的心跳信号区别开来。然后应用神经网络的方法,建立模型。最终能够应用模型达到心跳信号与病变信号自动区分的目的。

Pattern classification techniques based on NN（ Neural Network） are studied in this paper. Firstly we filter noises effectively from origlnal heartbeast signals and distinguish real ones in the feature space. Secondly we set up model applying methods of NN. Finally we can distinguish the real and the pathological signals automatically by using this model.