ECG identity recognition method based on WT and WOA-PNN algorithms

Abstract

The invention discloses an ECG identity recognition method based on a WT and WOA-PNN algorithm, and the method is specifically implemented according to the following steps: 1, collecting an electrocardiosignal, and carrying out the preprocessing and denoising of the electrocardiosignal, and obtaining a denoised ECG signal; step 2, positioning an R wave peak point of the denoised ECG signal in thestep 1 by adopting a wavelet positioning method; 3, determining the position of a QRS wave group through the R wave peak point obtained in the step 2, and determining the peak points, starting pointsand ending points of the P waves and the T waves; and step 4, combining the peak points, the starting points and the ending points of the QRS wave groups, the P waves and the T waves obtained in the step 2 and the step 3 to obtain a feature vector, and then performing ECG signal identification by using a WOA-PNN algorithm. According to the ECG identity recognition method based on the WT and WOA-PNN algorithms, the problem that in the existing ECG recognition process, the recognition precision of small-capacity multi-classification samples is not high is solved.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification, and relates to an ECG identification method based on WT and WOA-PNN algorithms. Background technique [0002] With the development of informatization and the rapid popularization of the network, personal identification technology has been widely used in medical, security, confidentiality and other fields. However, there are some inherent defects in the traditional identification technology, for example, the key is easy to be lost, and it is easy to be forged. When using the password method, if the password is forgotten or leaked, the original security will be lost, which cannot meet the requirements of the modern society. Basic requirements for security. In the past, biometrics only existed as an auxiliary verification method. However, with the continuous development of science and technology, biometrics have increasingly shown their unique advantages, and the use of bi...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an ECG identification method based on the WT and WOA-PNN algorithm, which solves the problem of low recognition accuracy for small-capacity multi-category samples in the existing ECG identification process

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