• DocumentCode
    1590559
  • Title

    Time-variant autoregressive spectral estimation in acute ischemic episodes

  • Author

    Cerutti, S. ; Mainardi, L. ; Bianchi, A. ; Signorini, M.G. ; Bertinelli, M.

  • Author_Institution
    Dept. of Inf. & Syst. Sci., Roma Univ., Italy
  • fYear
    1992
  • Firstpage
    315
  • Lastpage
    318
  • Abstract
    Time-invariant algorithms of autoregressive spectral estimation were employed in the study of the heart rate variability signal to quantify, on a beat-by-beat basis, the effect of the sympatho-vagal balance in the assessment of the heart rate. Thus, it was possible to obtain the relevant spectral parameters during transient phenomena, in which the hypotheses of stationarity, required for a batch analysis, are not respected. In particular, the focus is on the study of the cardiac transient ischemic pathology, aiming at analyzing the dynamical changes corresponding to the beginning of the attack and during the attack itself. For this purpose, the European ST-T database provides a significant number of cases of ischemic attacks that have been studied through time-invariant spectral analysis for a better comprehension of the origin mechanisms and of the involvement of the autonomic nervous system in the ischemic episodes
  • Keywords
    electrocardiography; medical signal processing; spectral analysis; European ST-T database; acute ischemic episodes; autonomic nervous system; batch analysis; cardiac pathology; spectral parameters; stationarity; sympatho-vagal balance; time-invariant algorithms; time-invariant autoregressive spectral estimation; transient phenomena; Biomedical engineering; Databases; Electrocardiography; Hafnium; Heart rate; Heart rate variability; Hospitals; Resonant frequency; Spectral analysis; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1992, Proceedings of
  • Conference_Location
    Durham, NC
  • Print_ISBN
    0-8186-3552-5
  • Type

    conf

  • DOI
    10.1109/CIC.1992.269368
  • Filename
    269368