A Fusion of ECG Signal Identification Method
- 10.2991/emim-15.2015.7How to use a DOI?
- Ecg signal; Feature extraction; Template library; Pattern matching; Identification
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.
- © 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/).
Cite this article
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 -