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ECG signal monitoring using linear PCA

Author(s): H.Chaouch | K.Ouni | L.Nabli

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 33;
Issue: 8;
Start page: 48;
Date: 2011;
Original page

Keywords: Principal component analysis | ECG Diagnosis | Detection of defects | Calculation of contributions

In this paper, we propose an approach to study the biomedical signal of the electrocardiographic 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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Tango Jona
Tangokurs Rapperswil-Jona