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Reseach Article

Analysis of EZW compression scheme applied for ECG signal compression

Published on December 2011 by Akhil Ranjan Garg, Devi Kannan
International Conference on Electronics, Information and Communication Engineering
Foundation of Computer Science USA
ICEICE - Number 3
December 2011
Authors: Akhil Ranjan Garg, Devi Kannan
740e3d4a-b85c-4b47-a721-a5138aecd15b

Akhil Ranjan Garg, Devi Kannan . Analysis of EZW compression scheme applied for ECG signal compression. International Conference on Electronics, Information and Communication Engineering. ICEICE, 3 (December 2011), 25-29.

@article{
author = { Akhil Ranjan Garg, Devi Kannan },
title = { Analysis of EZW compression scheme applied for ECG signal compression },
journal = { International Conference on Electronics, Information and Communication Engineering },
issue_date = { December 2011 },
volume = { ICEICE },
number = { 3 },
month = { December },
year = { 2011 },
issn = 0975-8887,
pages = { 25-29 },
numpages = 5,
url = { /specialissues/iceice/number3/4270-iceice024/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronics, Information and Communication Engineering
%A Akhil Ranjan Garg
%A Devi Kannan
%T Analysis of EZW compression scheme applied for ECG signal compression
%J International Conference on Electronics, Information and Communication Engineering
%@ 0975-8887
%V ICEICE
%N 3
%P 25-29
%D 2011
%I International Journal of Computer Applications
Abstract

Although digital storage media is not expensive and computational power has exponentially increased in the recent years, the possibility of electrocardiogram (ECG) compression still attracts the attention, due to the huge amount of the growing data that has to be stored or transmitted. The data’s growth depends on the factors like the sampling rate, quantization levels and number of sensors per minute per patient, depending upon the time and amplitude, sampling rate etc. Besides the increased storage capacity for archival purposes, ECG compression also allows real-time transmission over telephone networks, economic off-line transmission to remote interpretation sites etc. ECG compression methods attempt to reduce the dimensionality of the non stationary and quasi periodical ECG signal, while retaining all clinically significant features including P-wave, QRS complex and the T-wave. Wavelets have recently been emerged as powerful tools for signal compression. A two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression method that employs embedded zero tree (EZW) based compression algorithm is proposed in this paper. The reconstruct signal guaranteed the same RR interval as the original signal which is the major attraction presented in this paper. Records selected from the MIT-BIH arrhythmia database are tested and the experimental results show that the proposed method not only achieves high compression ratio with relatively low distortion but also is effective for various kinds of ECG morphologies.

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Index Terms

Computer Science
Information Sciences

Keywords

ECG Compression EZW wavelet transform compression ratio