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Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform

by Amr Sharawy, Sherief Samy, Mohamed Aouf
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 80 - Number 8
Year of Publication: 2013
Authors: Amr Sharawy, Sherief Samy, Mohamed Aouf
10.5120/13882-1779

Amr Sharawy, Sherief Samy, Mohamed Aouf . Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform. International Journal of Computer Applications. 80, 8 ( October 2013), 27-32. DOI=10.5120/13882-1779

@article{ 10.5120/13882-1779,
author = { Amr Sharawy, Sherief Samy, Mohamed Aouf },
title = { Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 80 },
number = { 8 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume80/number8/13882-1779/ },
doi = { 10.5120/13882-1779 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:54:01.655558+05:30
%A Amr Sharawy
%A Sherief Samy
%A Mohamed Aouf
%T Pseudo Body Surface Potential Mapping on Heart using 3D Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 80
%N 8
%P 27-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Body surface potential mapping (BSPM) is used to detect real diagnostic information about the myocardium state more than the standard 12-lead electrocardiogram (ECG). The present research introduces a practical solution for recording body surface potential maps using the standard 12-lead ECG with different positions. It is called pseudo BSPM where all channels were not read out simultaneously. It is based on the assumption that heart beat body surface potential mapping (BSPM) is used to detect real diagnostic information about the myocardium state more than standard 12-lead electrocardiography (ECG). Pseudo BSPM pattern is not changed considerably during the whole measurement session. Body surface potential mapping was applied to normal and abnormal persons suffering from coronary heart diseases (CHD). We detect QRS complexes using filter banks and consequently build up a cardiac map using 3D wavelet transform. Our results for the cardiac map demonstrate the changes that occur for the cardiac electrical activity which represents the patient case in color degradation patterns.

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Index Terms

Computer Science
Information Sciences

Keywords

ECG Body Surface Potential Mapping Cardiac mapping Filter banks Wavelet Transform

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