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Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state

A technology of identity recognition and abnormal state, applied in the direction of character and pattern recognition, medical science, instruments, etc., can solve problems such as poor effect, achieve the effect of improving the accuracy of identity recognition, increasing reliability and precision, and reducing time complexity

Active Publication Date: 2014-10-15
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

However, individuals with arrhythmias are common in real life, and the above methods do not work well in abnormal ECG states; some recent research work takes abnormal ECG signals into account, and many methods only involve one or several The type of arrhythmia has great limitations in practical application

Method used

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  • Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state
  • Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state
  • Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state

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Embodiment Construction

[0041] In order to make the implementation steps, effects and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0042] The present invention relates to an ECG-based multi-template matching identification method in an abnormal state of electrocardiogram, see figure 2 , the method includes:

[0043] 201: ECG signal preprocessing module;

[0044] 202: Signal decomposition and standardization module;

[0045] 203: ECG signal feature extraction module;

[0046] 204: ECG template database construction module;

[0047] 205: template matching and identity recognition module.

[0048] Among them, the ECG signal preprocessing module is used to obtain the user's original ECG data, store it in the data file, and filter the signal to eliminate noise such as power frequency interference, baseline drift, and myoelectric interference in the acquisition ...

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Abstract

The invention relates to a multiple-template matching identity recognition method based on an ECG (Electrocardiogram) under an electrocardiogram abnormality state, and belongs to the technical field of biological characteristic identity recognition. The ECG data of a user to be recognized is compared with the data of a registered user in a template library to obtain an identity recognition result. The key technology of the method comprises the following steps: carrying out electrocardiosignal preprocessing for eliminating noise interference; carrying out electrocardiosignal decomposition to separate an electrocardiogram waveform of each period; carrying out standardized processing for independently achieving standardization on time and amplitude scales; carrying out characteristic extraction: in the step, characteristics are extracted by wavelet transform, and clustering analysis is carried out by an ISODATA (Iterative Self-organizing Data Analysis Techniques Algorithm) so as to construct an ECC template library; and carrying out correlation analysis: in the step, correlation between ECG test data and each template is calculated, an optimal matching template is selected, and finally, an identity recognition result is obtained. The multiple-template matching identity recognition method provided by the invention utilizes the intrinsic electrocardiosignal of a human body to recognize an identity, and the ECG data under the abnormality state is considered.

Description

technical field [0001] The invention relates to a multi-template matching identity recognition method based on ECG (Electrocardiogram) in an abnormal state of electrocardiogram, which belongs to the technical field of biometric identity recognition. in individuals with cardiac arrhythmias. Background technique [0002] In modern society, identification has important applications in many fields. With the ever-increasing demand for security in today's society, the disadvantages of traditional identification methods are gradually emerging, such as easy to lose documents and easy to crack passwords. In this context, the identification technology based on biometrics gradually arouses people's widespread attention and becomes one of the research hotspots. [0003] Biometric-based identification refers to a technology that uses the physiological characteristics or behavioral characteristics of the human body to identify an individual's identity. The biological characteristics or...

Claims

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Application Information

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IPC IPC(8): G06K9/62A61B5/0402
Inventor 张跃王召
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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