Evaluation of wavelet filters based on EZW for ECG compression

The electrocardiogram (ECG) is a graphic record of the electrical activity of the heart. It is the primary tool in the diagnosis of cardiac conditions. Modem telemedicine systems require the storage and transmission of large quantities of ECG data. Efficient data compression is needed in order to re...

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Main Author: Qian, Yan
Other Authors: Krishnan, Shankar Muthu
Format: Theses and Dissertations
Published: 2008
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Online Access:http://hdl.handle.net/10356/3152
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-31522023-07-04T15:19:48Z Evaluation of wavelet filters based on EZW for ECG compression Qian, Yan Krishnan, Shankar Muthu School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The electrocardiogram (ECG) is a graphic record of the electrical activity of the heart. It is the primary tool in the diagnosis of cardiac conditions. Modem telemedicine systems require the storage and transmission of large quantities of ECG data. Efficient data compression is needed in order to reduce the quantities of data to be transmitted. Many ECG compression algorithms exist and an overview of the compression techniques is provided. The wavelet transform based algorithms have become the most active field of ECG compression in recent years. Since the wavelet transform plays a key role in the compression algorithm, the wavelet selection needs to be considered carefully. Master of Science (Computer Control and Automation) 2008-09-17T09:23:25Z 2008-09-17T09:23:25Z 2004 2004 Thesis http://hdl.handle.net/10356/3152 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
Qian, Yan
Evaluation of wavelet filters based on EZW for ECG compression
description The electrocardiogram (ECG) is a graphic record of the electrical activity of the heart. It is the primary tool in the diagnosis of cardiac conditions. Modem telemedicine systems require the storage and transmission of large quantities of ECG data. Efficient data compression is needed in order to reduce the quantities of data to be transmitted. Many ECG compression algorithms exist and an overview of the compression techniques is provided. The wavelet transform based algorithms have become the most active field of ECG compression in recent years. Since the wavelet transform plays a key role in the compression algorithm, the wavelet selection needs to be considered carefully.
author2 Krishnan, Shankar Muthu
author_facet Krishnan, Shankar Muthu
Qian, Yan
format Theses and Dissertations
author Qian, Yan
author_sort Qian, Yan
title Evaluation of wavelet filters based on EZW for ECG compression
title_short Evaluation of wavelet filters based on EZW for ECG compression
title_full Evaluation of wavelet filters based on EZW for ECG compression
title_fullStr Evaluation of wavelet filters based on EZW for ECG compression
title_full_unstemmed Evaluation of wavelet filters based on EZW for ECG compression
title_sort evaluation of wavelet filters based on ezw for ecg compression
publishDate 2008
url http://hdl.handle.net/10356/3152
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