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ECG identity recognition method based on IWT and AGA-BP model

A technology of AGA-BP and identity recognition, which is applied in human identification, neural learning methods, biological neural network models, etc., can solve problems such as poor accuracy of ECG signal recognition, achieve the effect of improving accuracy and reducing influence

Pending Publication Date: 2020-12-22
XIAN UNIV OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide an ECG identification method based on the IWT and AGA-BP model, which solves the problem of poor accuracy of ECG signal identification in the prior art

Method used

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  • ECG identity recognition method based on IWT and AGA-BP model
  • ECG identity recognition method based on IWT and AGA-BP model
  • ECG identity recognition method based on IWT and AGA-BP model

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Embodiment

[0088] The ECG identification method based on the IWT and AGA-BP model is implemented according to the following steps:

[0089] Step 1, collect the ECG signal, use the IWT algorithm to preprocess the collected ECG signal, and obtain the denoised ECG signal; image 3 As shown, specifically:

[0090] Step 1.1, by obtaining the original ECG data through the Irregular Heart Electron Database (MIT-BIH), and then using the ECG algorithm reading program written by Robert Tratnig of Vorarlberg University of Applied Sciences University, the ECG sample database can be realized by borrowing this program Read and plot any set of sample data, and obtain a matrix storing ECG data, which is the ECG signal to be processed;

[0091] Step 1.2, divide the ECG signal obtained in step 1.1 by a standard ECG cycle T to obtain n groups of periodic signal sequences X(n), and then use the recursive algorithm (RLS algorithm) of the least squares method to analyze the periodic signal sequences X(n) is...

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Abstract

The invention discloses an ECG identity recognition method based on an IWT and AGA-BP model. The ECG identity recognition method specifically comprises the steps of 1, collecting and denoising electrocardiosignals; 2, positioning an R wave peak point of the denoised ECG signal 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 points and 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 the AGA-BP model. According to the ECG identity recognition method based on the IWT and AGA-BP model, the problem that in the prior art, the electrocardiosignal recognition accuracy is poor is solved.

Description

technical field [0001] The invention belongs to the technical field of biological feature identification methods, and relates to an ECG identification method based on IWT and AGA-BP models. Background technique [0002] With the continuous development of science and technology, biometrics have increasingly shown their unique advantages, and the use of biometrics for identification has begun to attract more attention. Compared with traditional biometrics, the ECG signal has many great advantages. First, because the ECG signal comes from inside the body, it is difficult to imitate; secondly, any surviving individual will have the ECG signal, so it will not be forgotten or lost. ; In addition, as a one-dimensional signal, the ECG signal is easy to process, has a small amount of calculation, and has a faster recognition speed. To sum up, the many advantages of the electrocardiogram (ECG) signal make it an important part that cannot be ignored in the field of biometrics in the 2...

Claims

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0472A61B5/117A61B5/00G06N3/04G06N3/08
CPCA61B5/117A61B5/7203A61B5/725A61B5/726A61B5/7267G06N3/084G06N3/045
Inventor 李宁朱龙辉秦曙光何复兴郑强荪
Owner XIAN UNIV OF TECH
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