• 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