ECG Identification Based on Wavelet Transform

DOI

10.2991/jimec-16.2016.89How to use a DOI?

Keywords

Electrocardiography Biometric Identification Wavelet Transform MATLAB

Abstract

ECG signal, a kind of internal characteristics of the human body, which reflects the electrical activity of the heart, has multiple excellent features such as difficult to duplicate, hard to forge, unique, stable and so on. In this paper, the identification of ECG signal is studied based on the theory of wavelet transform. First of all, we introduce the present situation of biometric identification, and then carry out a detailed deduction of wavelet transform to be used and finally simulate the test in MATLAB. The analysis of experimental results shows that the accuracy of identification is high and satisfactory and it is feasible and practical.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wang Wei-Quan
AU  - Lu Pan
AU  - Lin Jia-Lun
AU  - Zhang Jin
PY  - 2016/10
DA  - 2016/10
TI  - ECG Identification Based on Wavelet Transform
BT  - Proceedings of the 2016 Joint International Information Technology, Mechanical and Electronic Engineering
PB  - Atlantis Press
SP  - 497
EP  - 501
SN  - 2352-5401
UR  - https://doi.org/10.2991/jimec-16.2016.89
DO  - 10.2991/jimec-16.2016.89
ID  - Wei-Quan2016/10
ER  -