DocumentCode
674513
Title
Load dependent changes of cardiac depolarization and repolarization during exercise ECG test
Author
Christov, Ivaylo ; Bortolan, Giovanni ; Simova, Iana
Author_Institution
Inst. of Biophys. & Biomed. Eng., Sofia, Bulgaria
fYear
2013
fDate
22-25 Sept. 2013
Firstpage
547
Lastpage
550
Abstract
The trend of the morphology changes of cardiac depolarization and repolarization during exercise ECG test were examined in a group of J 06 individuals. The ratio between the second and the first eigenvalues of Principal Component Analysis (PCA) was considered. The increasing and decreasing trends of PCA _QRS and PCA_T were classified as homogeneous and the rest as heterogeneous and their relationship with clinical data were studied. Depolarization: an increasing percentage of heterogeneous trends were observed in the groups with cardiac risk factors. This trend was statistically significant in the dyslipidemia disease (p<;0.05). Repolarization: opposite to the depolarization, an increasing percentage of the homogeneous trends was obtained in the groups with cardiac risk factors, with statistically significant diferences considering coronary artery disease and percutaneous coronary intervention (p<;0.05). The study of the load dependent behavior of PCA index during the stress test has revealed an increasing percentage of homogeneous and heterogeneous trends respectively in T and QRS wave, which can help to a better characterization of the diagnostic value of the exercise test.
Keywords
diseases; eigenvalues and eigenfunctions; electrocardiography; medical signal processing; principal component analysis; PCA index load dependent behavior; QRS wave; T wave; cardiac depolarization load dependent changes; cardiac depolarization morphology changes; cardiac repolarization load dependent changes; cardiac repolarization morphology changes; cardiac risk factors; coronary artery disease; dyslipidemia disease; exercise ECG test; first PCA eigenvalues; heterogeneous trends; percutaneous coronary intervention; principal component analysis; second PCA eigenvalues; Abstracts; Databases; Heart rate; Market research; Myocardium;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2013
Conference_Location
Zaragoza
ISSN
2325-8861
Print_ISBN
978-1-4799-0884-4
Type
conf
Filename
6713435
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