Finger ECG De-noising Based on GA-wavelet Shrinkage

DOI

10.2991/icemie-16.2016.1How to use a DOI?

Keywords

finger ECG; generation algorithm; wavelet de-noising

Abstract

In view of the low signal to noise ration and the difficulty on de-noising for ECG signal collected under unconstrained environment, a GA(Generation Algorithm) based wavelet method of finger ECG de-noising is proposed after a systematic study of wavelet threshold de-noising and generation algorithm. This new algorithm can dynamically get the optimal solution to fit the threshold in accordance with the characteristic of finger ECG. Then the algorithm is verified by fitting ECG and finger ECG. Compared with other algorithm, results show that the proposed method get the better performance according to the performance index including the output SNR, correlation coefficient and root mean square.

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  - Shenshen Zou
AU  - Xiaohong Zhang
PY  - 2016/04
DA  - 2016/04
TI  - Finger ECG De-noising Based on GA-wavelet Shrinkage
BT  - Proceedings of the 2016 International Conference on Electrical, Mechanical and Industrial Engineering
PB  - Atlantis Press
SP  - 1
EP  - 5
SN  - 2352-5401
UR  - https://doi.org/10.2991/icemie-16.2016.1
DO  - 10.2991/icemie-16.2016.1
ID  - Zou2016/04
ER  -