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Identity recognition method based on electrocardiosignals

An ECG signal and identity recognition technology, applied in the field of biometrics, can solve the problems of large amount of data processing, complex operation, slow recognition speed, etc., and achieve the effects of high recognition accuracy, strong anti-interference ability, and strong recognition reliability

Active Publication Date: 2014-04-09
SHENZHEN INST OF ADVANCED TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, an identification method based on fusion features has emerged, but due to its large amount of data processing, the identification speed is slow
[0006] The existing equipment for collecting ECG signals is complicated to operate, has a large amount of data and noise, is difficult to process signal data, and is not accurate in distinguishing
The identification rate of some methods depends on the accuracy of waveform feature point extraction. When some waves are too small to be measured, their related feature vectors cannot be obtained.
The existing technology generally does not consider the impact of heart rate changes on the waveform, but directly uses the transformation characteristics generated by one or the average cycle waveform as the identification feature, thus affecting the accuracy of identification

Method used

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  • Identity recognition method based on electrocardiosignals
  • Identity recognition method based on electrocardiosignals
  • Identity recognition method based on electrocardiosignals

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] In this embodiment, the public QT database is used as a case, as shown in Table 1:

[0054] Table 1

[0055] MIT-BIH

MIT-BIH

MIT-BIH

MIT-BIH

ESC

MIT-BIH

Sudden

Arrhyt.

ST DB

Sup. Vent.

Long Term

STT

NSR DB

death

15

6

13

4

33

10

24

[0056] The data in the QT database is a collection of 105 data from 7 different databases, including 14 data from healthy people and 91 data from other heart patients. Its data sampling frequency is 250HZ.

[0057] In this embodiment, the above-mentioned identification method based on ECG signals is used for identification. After the data is processed by the above-mentioned method, the result is shown in the database heat map as figure 2 and a binary heatmap in the database such as image 3 Indicates that the abscissa is the training set, and the ordinate is the test set. The accuracy rate of its ECG recognition is 92.38%.

Embodiment 2

[0059] In this embodiment, the public PTB database is used as a case, as shown in Table 2:

[0060] Table 2

[0061] Diagnosis type

quantity

Myocardial infarction

148

Heart failure (Cardiomyopathy / Heart failure)

18

Bundle branch block

15

Dysrhythmia

14

Myocardial hypertrophy

7

Valvular heart disease

6

[0062] Myocarditis

4

Miscellaneous

4

Healthy controls

52

[0063] There are 268 data in the QT database, including 52 data of healthy people and 216 data of other heart patients. Its data sampling frequency is 1000HZ.

[0064] In this embodiment, the above-mentioned identification method based on electrocardiographic signals is used for identification, and the electrocardiographic identity is analyzed and identified for different sampling durations of the PTB database, including 5 seconds, 10 seconds, 20 seconds, and 40 seconds. As a result, after ...

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Abstract

The invention relates to the field of biological recognition, and provides an identity recognition method based on electrocardiosignals. The method comprises the following steps: S1: acquiring ECG (electrocardio) information data; S2: preprocessing information data; S3: carrying out feature extraction on the information data processed in the step S2; S4: dividing the information data processed in the S3 into a training set and a test set; S5: obtaining a training template library by the training set; and S6: comparing the similarities of the information data of the testing set and the information data of the template library, so as to determine the owner of the ECG information data. According to the method, the electrocardiosignals can be processed to realize the identity recognition, and the reliability of the recognition is strong, the antijamming capability is strong, and the recognition accuracy is high.

Description

technical field [0001] The invention relates to the field of biological identification, in particular to an identification method based on electrocardiographic signals. Background technique [0002] With the improvement of social informatization, more and more people pay attention to information security. However, the original authentication methods such as user and password are being invaded in various ways. How to obtain more secure and accurate identification has become the focus of today's technical research. Biometric technology is making this problem effectively solved. Biometric technology is a technology that uses computers and the inherent physiological characteristics of the human body to distinguish individual characteristics. [0003] The identification technology based on biometric features has been developed rapidly due to its high security, uniqueness, stability and effectiveness. The current biometric technologies mainly include fingerprint recognition, pal...

Claims

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Application Information

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IPC IPC(8): G06F21/32A61B5/117
CPCA61B5/117G06F21/32
Inventor 周丰丰葛瑞泉刘记奎罗幼喜杨美雪
Owner SHENZHEN INST OF ADVANCED TECH
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