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

An identity recognition and algorithm technology, applied in the field of ECG identity recognition based on WT and WOA-PNN algorithms, can solve the problem of low recognition accuracy of small-capacity multi-category samples, and achieve the effect of improved recognition accuracy and high recognition accuracy

Inactive Publication Date: 2021-01-22
THE SECOND AFFILIATED HOSPITAL OF XIAN JIAOTONG UNIV +1
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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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  • ECG identity recognition method based on WT and WOA-PNN algorithms
  • ECG identity recognition method based on WT and WOA-PNN algorithms
  • ECG identity recognition method based on WT and WOA-PNN algorithms

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Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0047] According to the ECG identification method based on WT and WOA-PNN algorithm of the present invention, WOA-PNN is a probabilistic neural network based on whale optimization algorithm, and its flow chart is as follows figure 1 As shown, the specific steps are as follows:

[0048] Such as figure 2 As shown, in step 1, the ECG signal is collected, and the collected ECG signal is preprocessed and denoised by wavelet transform to obtain the denoised ECG signal; specifically:

[0049] Step 1.1, first, obtain the ECG data through the Irregular Heart Rate Database (MIT-BIH). Then, read the program with the ECG algorithm, the present invention selects the ECG algorithm reading program written by Vorarlberg University of Applied Sciences University Robert Tratnig, borrow this program and just can realize any group of sample data in the ECG sa...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00A61B5/366A61B5/346A61B5/352A61B5/117
CPCA61B5/117A61B5/7203G06V40/10G06V40/15
Inventor 秦曙光郑强荪李宁何复兴朱龙辉
Owner THE SECOND AFFILIATED HOSPITAL OF XIAN JIAOTONG UNIV
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