A Fusion of ECG Signal Identification Method

DOI

10.2991/emim-15.2015.7How to use a DOI?

Keywords

Ecg signal; Feature extraction; Template library; Pattern matching; Identification

Abstract

In order to accurately obtain the identification information, in the basis of various biometric identification technology comparative study , using a higher safety and reliability of ecg signal identification technology. This paper studies the method of ecg signal identification technology, first using wavelet transform to remove noise and interference in ecg signal, pinpoint the signal of a cycle, and then contrast the recognition rate of two feature extraction methods of harmonic fundamental wave ratio and single cycle inner time-frequency joint analysis, finally proposed the fusion feature extraction method of the ratio of harmonic fundamental wave and single cycle inner time-frequency joint analysis. Through small amount of data in the MIT - BIH ecg database experiments have been carried out to verify this method, the results show that the algorithm has a high recognition rate.

Copyright

© 2015, 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  - Huan Zhang
AU  - Lanxiang Chong
AU  - Dan Guo
PY  - 2015/04
DA  - 2015/04
TI  - A Fusion of ECG Signal Identification Method
BT  - Proceedings of the 2015 International Conference on Education, Management, Information and Medicine
PB  - Atlantis Press
SP  - 33
EP  - 38
SN  - 2352-5428
UR  - https://doi.org/10.2991/emim-15.2015.7
DO  - 10.2991/emim-15.2015.7
ID  - Zhang2015/04
ER  -