A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding

<p/> <p>Guaranteeing ECG signal quality in wavelet lossy compression methods is essential for clinical acceptability of reconstructed signals. In this paper, we present a simple and efficient method for guaranteeing reconstruction quality measured using the new distortion index wavelet w...

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Main Authors: Alesanco &#193;lvaro, Garc&#237;a Jos&#233;
Format: Article
Language:English
Published: SpringerOpen 2007-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://asp.eurasipjournals.com/content/2007/093195
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spelling doaj-b4ffe929d7b64ce8ae9f1a91985295f12020-11-24T21:26:09ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071093195A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy CodingAlesanco &#193;lvaroGarc&#237;a Jos&#233;<p/> <p>Guaranteeing ECG signal quality in wavelet lossy compression methods is essential for clinical acceptability of reconstructed signals. In this paper, we present a simple and efficient method for guaranteeing reconstruction quality measured using the new distortion index wavelet weighted PRD (WWPRD), which reflects in a more accurate way the real clinical distortion of the compressed signal. The method is based on the wavelet transform and its subsequent coding using the set partitioning in hierarchical trees (SPIHT) algorithm. By thresholding the WWPRD in the wavelet transform domain, a very precise reconstruction error can be achieved thus enabling to obtain clinically useful reconstructed signals. Because of its computational efficiency, the method is suitable to work in a real-time operation, thus being very useful for real-time telecardiology systems. The method is extensively tested using two different ECG databases. Results led to an excellent conclusion: the method controls the quality in a very accurate way not only in mean value but also with a low-standard deviation. The effects of ECG baseline wandering as well as noise in compression are also discussed. Baseline wandering provokes negative effects when using WWPRD index to guarantee quality because this index is normalized by the signal energy. Therefore, it is better to remove it before compression. On the other hand, noise causes an increase in signal energy provoking an artificial increase of the coded signal bit rate. Clinical validation by cardiologists showed that a WWPRD value of 10 <inline-formula><graphic file="1687-6180-2007-093195-i1.gif"/></inline-formula> preserves the signal quality and thus they recommend this value to be used in the compression system.</p> http://asp.eurasipjournals.com/content/2007/093195
collection DOAJ
language English
format Article
sources DOAJ
author Alesanco &#193;lvaro
Garc&#237;a Jos&#233;
spellingShingle Alesanco &#193;lvaro
Garc&#237;a Jos&#233;
A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
EURASIP Journal on Advances in Signal Processing
author_facet Alesanco &#193;lvaro
Garc&#237;a Jos&#233;
author_sort Alesanco &#193;lvaro
title A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
title_short A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
title_full A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
title_fullStr A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
title_full_unstemmed A Simple Method for Guaranteeing ECG Quality in Real-Time Wavelet Lossy Coding
title_sort simple method for guaranteeing ecg quality in real-time wavelet lossy coding
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2007-01-01
description <p/> <p>Guaranteeing ECG signal quality in wavelet lossy compression methods is essential for clinical acceptability of reconstructed signals. In this paper, we present a simple and efficient method for guaranteeing reconstruction quality measured using the new distortion index wavelet weighted PRD (WWPRD), which reflects in a more accurate way the real clinical distortion of the compressed signal. The method is based on the wavelet transform and its subsequent coding using the set partitioning in hierarchical trees (SPIHT) algorithm. By thresholding the WWPRD in the wavelet transform domain, a very precise reconstruction error can be achieved thus enabling to obtain clinically useful reconstructed signals. Because of its computational efficiency, the method is suitable to work in a real-time operation, thus being very useful for real-time telecardiology systems. The method is extensively tested using two different ECG databases. Results led to an excellent conclusion: the method controls the quality in a very accurate way not only in mean value but also with a low-standard deviation. The effects of ECG baseline wandering as well as noise in compression are also discussed. Baseline wandering provokes negative effects when using WWPRD index to guarantee quality because this index is normalized by the signal energy. Therefore, it is better to remove it before compression. On the other hand, noise causes an increase in signal energy provoking an artificial increase of the coded signal bit rate. Clinical validation by cardiologists showed that a WWPRD value of 10 <inline-formula><graphic file="1687-6180-2007-093195-i1.gif"/></inline-formula> preserves the signal quality and thus they recommend this value to be used in the compression system.</p>
url http://asp.eurasipjournals.com/content/2007/093195
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