Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Electrocardiogram recognizing method based on privacy protection

A privacy protection and electrocardiogram technology, applied in the field of information security, can solve problems such as user loss and user biometric forgery, and achieve the effect of solving privacy leakage

Active Publication Date: 2014-07-30
NANJING UNIV
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these technologies have a fatal flaw, the user's biometrics can be forged, which may cause irreparable damage to the user

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
  • Electrocardiogram recognizing method based on privacy protection
  • Electrocardiogram recognizing method based on privacy protection
  • Electrocardiogram recognizing method based on privacy protection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0026] The method of ECG recognition based on privacy protection, such as figure 1 As shown, before storing the ECG data in the server, in order to protect the privacy of the user’s ECG, the ECG data is first perturbed on the client side. The perturbation method is to extract the ECG signal obtained from the user’s measurement. The eigenvector A containing n elements is multiplied by an n×n random matrix matrix, see equation 2:

[0027] B [ i ] ...

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 discloses an electrocardiogram recognizing method based on privacy protection. Firstly, ECG data are disorganized in a client, and then a vector B achieved from conversion instead of an initial vector A is utilized as a characteristic vector of a user to be uploaded to a server database to be used for recognizing the user in an identity recognizing stage. A disorganizing method is that a characteristic vector A which is extracted from the electrocardiogram signals obtained from measurement of the user and contains n elements multiplies a n*n random matrix. The electrocardiogram recognizing method can well protect electrocardiogram privacy of users in a training stage and an identity recognizing process.

Description

technical field [0001] The invention relates to a method for identifying an electrocardiogram based on privacy protection, and belongs to the technical field of information security. Background technique [0002] Today, many biometric-based identification methods already exist. As we all know, biometric methods based on fingerprints, irises, faces, voices, etc. have been widely used in industrial production and daily life. However, these technologies have fatal flaws, and users' biometrics can be forged, which may cause irreparable losses to users. Compared with these biometric technologies, electrocardiogram (ECG) recognition technology based on biometrics has incomparable advantages, because ECG data is difficult to forge. However, ECG data is regarded as important personal privacy, and users are usually unwilling to disclose their ECG data, including in the sampling stage as well as the identification stage. Contents of the invention [0003] Purpose of the invention...

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): G06K9/00G06K9/62H04L29/06G06F21/32A61B5/0452
Inventor 华景煜葛鑫管绍朋仲盛
Owner NANJING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products