• DocumentCode
    561773
  • Title

    Usefulness of 7-day Holter monitoring for heart rate variability nonlinear dynamics evaluation

  • Author

    Goya-Esteban, R. ; Barquero-Pérez, O. ; Caamaño-Fernández, A. ; Rojo-Álvarez, JL ; Pastor-Pérez, F.J. ; Manzano-Fernández, S. ; García-Alberola, A.

  • Author_Institution
    Signal Theor. & Commun. Dept., Rey Juan Carlos Univ., Madrid, Spain
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    Although a number of studies have addressed the clinical usefulness of Heart Rate Variability (HRV) as a marker of the autonomic activity, there are few studies about the short-term day-to-day reproducibility of HRV nonlinear indices. A database of 31 7-Day Holters (7DH) from Chronic Heart Failure patients was used to analyze the reliability of nonlinear dynamics and to evaluate the usefulness of 7DH recordings against the 24-hour recordings. On the one hand, scaling exponents α1 and α2 from De-trended Fluctuations Analysis, and Sample Entropy, were compared at two randomly selected days; day and night periods were also analyzed separately. On the other hand, the values obtained for each single day were compared to the ones for the 7DH. Intraclass Correlation Coefficients showed strong correlation for the indices between two random days, specially in the night period, hence suggesting that this could be the more suitable period to perform the calculations in terms of reliability. Significant differences were found for every single day of the week compared to the 7DH for α2. Therefore, 7DH can improve the understanding of long-term fractal correlation properties given by nonlinear indices.
  • Keywords
    cardiology; correlation methods; diseases; entropy; nonlinear dynamical systems; patient monitoring; reliability; 7-day Holter monitoring; 7DH recordings; HRV nonlinear indices; chronic heart failure patients; detrended fluctuations analysis; heart rate variability nonlinear dynamics evaluation; intraclass correlation coefficients; long-term fractal correlation properties; nonlinear dynamics reliability; sample entropy; short-term day-to-day reproducibility; Correlation; Doped fiber amplifiers; Heart rate variability; Indexes; Reliability; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2011
  • Conference_Location
    Hangzhou
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4577-0612-7
  • Type

    conf

  • Filename
    6164513