Lossy, lossless and controlled compression of electrocardiogram (ECG) signals

Lossy, lossless and controlled compression of electrocardiogram (ECG) signals

In general, ECG compression techniques should achieve the following conflicting objectives: (i) Reduce the amount of digitized ECG data as much possible with less implementation overheads associated with it, (ii) Preserve the diagnostic information content in the reconstructed signal. Even though a...

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Main Author: Ramakrishnan, Kannan
Format: Thesis
Published: 2011
Subjects:
QA76.75-76.765 Computer software
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id my-mmu-ep.5992
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spelling my-mmu-ep.59922015-02-24T05:31:57Z Lossy, lossless and controlled compression of electrocardiogram (ECG) signals 2011-01 Ramakrishnan, Kannan QA76.75-76.765 Computer software In general, ECG compression techniques should achieve the following conflicting objectives: (i) Reduce the amount of digitized ECG data as much possible with less implementation overheads associated with it, (ii) Preserve the diagnostic information content in the reconstructed signal. Even though a wide variety of ECG compression methods have been proposed in the literature, it still remains an active area of research, as better methods for achieving the conflicting requirements of greater compression ratio and better signal quality are in demand. Different researchers have demonstrated this by implementing various lossy, lossless, and controlled ECG compression methods and reporting improvements in compression efficiency and signal quality. 2011-01 Thesis http://shdl.mmu.edu.my/5992/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics
institution Multimedia University
collection MMU Institutional Repository
topic QA76.75-76.765 Computer software
spellingShingle QA76.75-76.765 Computer software
Ramakrishnan, Kannan
Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
description In general, ECG compression techniques should achieve the following conflicting objectives: (i) Reduce the amount of digitized ECG data as much possible with less implementation overheads associated with it, (ii) Preserve the diagnostic information content in the reconstructed signal. Even though a wide variety of ECG compression methods have been proposed in the literature, it still remains an active area of research, as better methods for achieving the conflicting requirements of greater compression ratio and better signal quality are in demand. Different researchers have demonstrated this by implementing various lossy, lossless, and controlled ECG compression methods and reporting improvements in compression efficiency and signal quality.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Ramakrishnan, Kannan
author_facet Ramakrishnan, Kannan
author_sort Ramakrishnan, Kannan
title Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
title_short Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
title_full Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
title_fullStr Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
title_full_unstemmed Lossy, lossless and controlled compression of electrocardiogram (ECG) signals
title_sort lossy, lossless and controlled compression of electrocardiogram (ecg) signals
granting_institution Multimedia University
granting_department Faculty of Computing and Informatics
publishDate 2011
_version_ 1747829604321591296

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