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Use of Self Organizing Map to Obtain ECG Data Templates for Its Compression and Reconstruction

by Akhil Ranjan Garg, Mridul Kumar Mathur, Megha Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 11
Year of Publication: 2016
Authors: Akhil Ranjan Garg, Mridul Kumar Mathur, Megha Singh
10.5120/ijca2016908894

Akhil Ranjan Garg, Mridul Kumar Mathur, Megha Singh . Use of Self Organizing Map to Obtain ECG Data Templates for Its Compression and Reconstruction. International Journal of Computer Applications. 137, 11 ( March 2016), 26-33. DOI=10.5120/ijca2016908894

@article{ 10.5120/ijca2016908894,
author = { Akhil Ranjan Garg, Mridul Kumar Mathur, Megha Singh },
title = { Use of Self Organizing Map to Obtain ECG Data Templates for Its Compression and Reconstruction },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 11 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 26-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number11/24319-2016908894/ },
doi = { 10.5120/ijca2016908894 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:05.873811+05:30
%A Akhil Ranjan Garg
%A Mridul Kumar Mathur
%A Megha Singh
%T Use of Self Organizing Map to Obtain ECG Data Templates for Its Compression and Reconstruction
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 11
%P 26-33
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An electrocardiogram (ECG) is a recording of electrical impulses generated by the electrical activity of the heart and is used as a diagnostic tool to analyze various heart diseases. For economical storage and fast transmission over low-bandwidth channels, ECG data need to be compressed. For the efficient compression of ECG signals, the topology preservation feature of self-organizing maps (SOM) is used. It is observed that a compression ratio up to 1:20 can be achieved with a very low-percentage root-mean-square difference, i.e. below 1.6, by creating templates of ECG patterns in the form of weight vectors of neurons. The templates obtained in this manner are then used to reconstruct the ECG signal. This analysis shows that the reconstructed signal is perfectly matched to the original signal.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Self-organizing maps Compression Winning neuron Neighborhood function Templates

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