A method of ECG identification based on weighted correlation coefficient

Abstract

When the correlation coefficient (CC) method is used in electrocardiograph (ECG) identification, the accuracy of identification can be affected by the number of templates and different representative templates. In this paper, a template selection method is proposed based on contribution rate of each ECG waveform in the data set, and the second-order differential threshold value is used to determine the number of templates and select representative ECG templates for each individual. The weighted correlation coefficient method is proposed for ECG identification, and weights are calculated by the sorted sequence of contribution rate. The performance of the presented method is tested on the MIT-BIH ECG data set and the hand ECG data collected in real scenery. Comparing with the traditional correlation coefficient method, experimental results show that the average identification accuracies are increased 10.52% and 3.85% respectively when using the presented method