Study of human identification by Electrocardiography frequency features

DOI

10.2991/isci-15.2015.67How to use a DOI?

Keywords

amplitude frequency characteristics; energy spectrum; the neural network

Abstract

The paper proposed a human identification strategy based on ECG (electrocardiogram) frequency domain features. Fourier transform was used on ECG signal to get frequency domain features. The features contained frequency-domain signal slope, harmonic number, the magnitude gap, ratio of different frequency energy to total energy. Classifiers of correlation analysis and neural network were used in identification, and the accuracy of neural network reached 96.4%.

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  - Yarong Wang
AU  - Gang Zheng
PY  - 2015/01
DA  - 2015/01
TI  - Study of human identification by Electrocardiography frequency features
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 499
EP  - 506
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.67
DO  - 10.2991/isci-15.2015.67
ID  - Wang2015/01
ER  -