A Fast Fractal Model Based ECG Compression Technique

DOI

10.2991/iccmcee-15.2015.29How to use a DOI?

Keywords

Fractal; Dynamic Comparison Sequence

Abstract

ECG monitoring equipmentwill generate a huge mount of ECG signals, which causes enormous pressure on server storage and transmission. Therefore, many compression techniques are proposed to overcome this problem including some fractal based lossy ECG compression techniques. However, basic fractal based techniques cannot be used widely on some large-scale applications because of its high computation complexity.In this paper, an improved faster fractal model is proposed to solve this problem. The most important and time-cost step in the basic fractal model is the comparison of range and domain blocks. Traditionally, the comparison sequence is fixed and static. In the new improved fractal model, the sequence is changed to be dynamic toaccelerate the compression. It is found that the improved fractal based technique can achieve same compression ratio and similar Percentage Residual Difference(PRD) error with 4 times faster than the basic fractal basedtechnique.

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  - Yin Lin
AU  - Yu Fang
PY  - 2015/11
DA  - 2015/11
TI  - A Fast Fractal Model Based ECG Compression Technique
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 150
EP  - 157
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.29
DO  - 10.2991/iccmcee-15.2015.29
ID  - Lin2015/11
ER  -