ECG signal collected by ECG sensor is widely used in field of identification.Firstly

wavelet de-noising results are often judged subjectively

no quantitative indicators

and filtering effect is not ideal.Secondly

influence of change of heart rate isn’t taken into consideration

robustness is poor.In order to solve these two problems

put forward a kind of methods to measure results of pretreatment by SNR and correlation coefficient

and only adopt QRS waveform in feature extraction

avoiding interval feature easily influenced by heart rate.Finally

use a variety of classification and recognition methods for testing

for small sample

SVM is most suitable for ECG identification.