An Effective Respiration Signal Processing System Based on improved EEMD Method and PPG

DOI

10.2991/iccsae-15.2016.178How to use a DOI?

Keywords

Improved EEMD; PPG; DSP

Abstract

An effective signal processing system based on improved Ensemble Empirical Mode Decomposition (EEMD) method is proposed for the analysis of extracting respiration from Photoplethysmography (PPG). The proposed improved EEMD method adaptively adds the noise intensity by calculating the average sub-peak amplitude of PPG. Moreover, an attempt is made to increase the efficiency of the computational process by reducing the number of EMD cycles using the S number convergence criterion based on characteristics of PPG. The proposed algorithm is examined by the on-board DSP and derives better results. It is helpful for non-stationary biomedical signal processing.

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  - Tao Wang
AU  - Xi’An Zhu
AU  - JiZe Liu
PY  - 2016/02
DA  - 2016/02
TI  - An Effective Respiration Signal Processing System Based on improved EEMD Method and PPG
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 970
EP  - 974
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.178
DO  - 10.2991/iccsae-15.2016.178
ID  - Wang2016/02
ER  -