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ECG signal monitoring using linear PCA
by
H.Chaouch,
K.Ouni,
L.Nabli
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 33 - Number 8 |
| Year of Publication: 2011 |
| Authors: H.Chaouch, K.Ouni, L.Nabli |
10.5120/4146-5979
|
H.Chaouch, K.Ouni, L.Nabli . ECG signal monitoring using linear PCA. International Journal of Computer Applications. 33, 8 ( November 2011), 48-54. DOI=10.5120/4146-5979
@article{
10.5120/4146-5979,
author = {
H.Chaouch,
K.Ouni,
L.Nabli
},
title = { ECG signal monitoring using linear PCA },
journal = {
International Journal of Computer Applications
},
issue_date = { November 2011 },
volume = { 33 },
number = { 8 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = {
48-54
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume33/number8/4146-5979/
},
doi = { 10.5120/4146-5979 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:19:42.285817+05:30
%A H.Chaouch
%A K.Ouni
%A L.Nabli
%T ECG signal monitoring using linear PCA
%J International Journal of Computer Applications
%@ 0975-8887
%V 33
%N 8
%P 48-54
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, we propose an approach to study the biomedical signal of the electro-cardiographic ECG. Our contribution consists in applying the principal component analysis (PCA) to help diagnose the cardiovascular system. Many researches have recently approached the same theme by integrating many tools of signal processing, but the most interesting method is the PCA.Starting from the ECG signal, we define the characteristic parameters of the electrical activity of the heart. The PCA allows detecting and then localizing the defective parameters of the ECG and facilitating the diagnosis of the existing heart disorders. The results we get at the end of this paper show that this approach is reliable compared with data given by the medical expert.
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Index Terms
Computer Science
Information Sciences
Keywords