• DocumentCode
    674592
  • Title

    Evaluation of the relation between changes in R-wave amplitude and LV mass and dimensions in a model of “Reversed Hypertrophy”

  • Author

    Caiani, E.G. ; Auricchio, Angelo ; Potse, M. ; Krause, Rainer ; Pellegrini, Alessandro ; Lang, R.M. ; Vaida, P.

  • Author_Institution
    Dipt. di Elettron., Inf. e Bioingegneria, Milan, Italy
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    867
  • Lastpage
    870
  • Abstract
    Electrocardiographic (ECG) diagnosis of left ventricular (LV) hypertrophy, based on the so-called voltage criteria, suffers from low sensitivity, so that the dominant cardiac factors influencing the QRS voltage have not been fully elucidated. Our aim was to evaluate the correlation between changes in R-wave amplitude (R-AMP) and LV mass and size in a model of “reversed hypertrophy”, such as that induced by 5-days head-down (6°) bed rest (HDBR). ECG Holter-24h and echocardiographic imaging were obtained before (PRE) and on the last day (HDT5) of HDBR in 11 male subjects (age 21÷41 years).The R-AMP derived from the vectorcardiogram was correlated with the echo-derived LV mass, end-diastolic (EDV), systolic (ESV) and stroke (SV) volumes. Linear regression between R-AMP and ESV (y=.013R+26, r2=.31) was found significant (p<;.05), while regression with LV mass (y=.195R+83, r2=.19, p=.04) was weaker. Further studies using electrophysiologic models could better elucidate the phenomenon.
  • Keywords
    echocardiography; electrocardiography; medical disorders; medical image processing; regression analysis; ECG diagnosis; LV dimension change; LV mass change; QRS voltage; R-wave amplitude change; Reversed Hypertrophy; echocardiographic imaging; electrocardiographic diagnosis; left ventricular hypertrophy; linear regression; sensitivity; vectorcardiogram; voltage criteria; Abstracts; Biology; Correlation; Electrocardiography; Pediatrics;
  • 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
    6713515