Electrocardiosignal fast identity identification method based on random tree

A technology of electrocardiogram and identity recognition, applied in the field of identity recognition, can solve problems such as large amount of calculation, low complexity, and insufficient recognition rate, and achieve the effect of low amount of calculation, accurate results, and good implementability

Active Publication Date: 2016-12-07
CHINA UNIV OF MINING & TECH (BEIJING) +2
View PDF3 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Electrocardiosignal fast identity identification method based on random tree
  • Electrocardiosignal fast identity identification method based on random tree
  • Electrocardiosignal fast identity identification method based on random tree

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] to 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;

[00...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to an electrocardiosignal fast identity identification method based on a random tree. According to the invention, the method can automatically find the heartbeat characteristic of each time of a user by collecting the electrocardio data of the user and others in advance; an identity identification model is constructed; the identification model can be used to determine whether once heartbeat data input into the model belongs to the user to realize the function of identity identification; the method mainly has three steps of electrocardiosignal preprocessing, identification model calculation and the use of the model; compared with the prior art, the method has the advantages that the method is quicker and more efficient and the identification accuracy is not lost when the identification model is calculated; after the identification model is constructed, compared with other methods, the method has the advantages that identity identification is carried out simply through once heartbeat data, which is simple, fast and convenient; and the method has the advantages of low calculation quantity, great practicability and accurate result.

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/14G06F2218/02G06F2218/08
Inventor 陈法圣刘厚康
Owner CHINA UNIV OF MINING & TECH (BEIJING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap