A new ECG identification with neural network

Electrocardiogram (ECG) as biological information, it has some special feature. Different people will have different ECG information; even one person has different ECG when he is under different body state. In this paper we use the ECG to identify disease or to detect different person. Firstly, we collect the ECG information from different body state of the different people. Secondly we will preprocess the ECG data by using a method of statistical. Thirdly we can use the neural network algorithm to train the data, and then classify different people´s data into a different class. Finally when there are one new ECG data, we can also use neural network to identify the new data. Even one people have several ECG signal, with our approach, the ECG identification is feasible.