The electrocardiography signal includes noise and has high dimension due to the acquisition of equipment

testing the mood

in order to improve the identification accuracy

this paper proposes a new ECG signal identification method based on wavelet transform and support vector machine.Firstly

wavelet transform is used to eliminate the nose of ECG signal

and then the correlation analysis method is used to reduce the feature dimension;lastly

support vector machine is used to build ECG signal identification model.The simulation results show that the method improves the identification accuracy and speed

it is efficient identification algorithm.