A Fast Identification Method of ECG Signal Based on Random Tree

A technology of ECG signal and identity recognition, which is applied in the field of identity recognition, can solve problems such as low complexity, insufficient recognition rate, and large amount of calculation, and achieve the effect of low amount of calculation, accurate results, and no loss of recognition accuracy

Active Publication Date: 2019-11-12
CHINA UNIV OF MINING & TECH (BEIJING) +2
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AI Technical Summary

Problems solved by technology

Algorithms with low complexity often have a low recognition rate; while methods with high precision often have a large amount of calculation and cannot be well used on various platforms

Method used

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  • A Fast Identification Method of ECG Signal Based on Random Tree
  • A Fast Identification Method of ECG Signal Based on Random Tree
  • A Fast Identification Method of ECG Signal Based on Random Tree

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Embodiment Construction

[0040] combine Figure 1 to Figure 7 , the present invention is further described:

[0041] The fast identification method of ECG signal based on random tree comprises the following steps:

[0042]S100, ECG signal preprocessing step, filter and denoise the collected ECG signal, extract the instantaneous frequency of the ECG signal, find the maximum value point on the instantaneous frequency, and then search for the peak wave near the maximum value of the crest. Intercept the waveform of the peak-to-peak period of each spike-shaped wave, adjust the length of each waveform, and change each waveform to a fixed length;

[0043] S101, the calculation step of the recognition model, dividing the intercepted heartbeat data into a category belonging to the user and a category not belonging to the user, using the waveform data of the peak-to-peak interval of a single spike-like wave after a fixed length, and the heartbeat The length of time is used as a feature to classify;

[0044]...

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Abstract

The invention relates to a random tree-based rapid identification method of electrocardiographic signals. The method can automatically find the characteristics of each heartbeat of the user by collecting the electrocardiographic data of a certain user and other people in advance, and construct an identification model. Using the recognition model, it can be determined whether a heartbeat data input into the model belongs to the user, and the function of identity recognition can be realized. The method mainly has three major steps: ECG signal preprocessing, calculation of the recognition model, and use of the model. Compared with the prior art, this method is faster and more effective in calculating the recognition model without losing the recognition accuracy. In addition, After establishing the recognition model, compared with other methods, only one heartbeat data is needed to judge the identity, which is simple, fast and convenient. In addition, this method has a low calculation amount, better implementability, and more accurate results.

Description

technical field [0001] The invention relates to the technical field of identification, in particular to a random tree-based rapid identification method for electrocardiographic signals. Background technique [0002] Traditional identification methods, such as secret keys and passwords, require the user to record the secret key. The above-mentioned identification method needs to record the secret key and password information. Not only is the operation cumbersome, but also the secret key and password may be forgotten or lost. possibility. Commonly used biometric identification methods, such as iris identification and fingerprint identification, do not require users to memorize secret keys and have a high identification rate, but there are many ways to crack them. For example, iris recognition can be fooled by wearing special contact lenses; fingerprint recognition can be fooled by special latex fingers. Traditional biometric identification is gradually turning to the identif...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/14G06F2218/02G06F2218/08
Inventor 陈法圣刘厚康
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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