• DocumentCode
    2394172
  • Title

    Morphology evaluation of heart heart variability power spectrum

  • Author

    Bakardjian, Hovagim ; Yamamoto, Katsuyuki

  • Author_Institution
    Fac. of Eng., Hokkaido Univ., Sapporo, Japan
  • fYear
    1994
  • fDate
    1994
  • Firstpage
    1332
  • Abstract
    A relatively simple feature `fractal number´ reflects adequately differences in the morphology of power spectral patterns. The spectral region area ratios are well-known estimators of the heart rate variability but the fractal numbers are able to complementary evaluations of the particular spectral morphologies. The authors investigated 30 heart rate variability spectra and applied wave recognition techniques to the power density series of the R-R, Q-Q and S-S variability curves. Comparisons between spectral region area ratios and fractal number ratios showed the functionality of the morphology estimator as an appropriate complementary tool for clinical assessments of the sympatho-vagal balance at the sinus node
  • Keywords
    fractals; Q-Q variability curve; R-R variability curve; S-S variability curve; clinical assessments; fractal number; heart heart variability power spectrum; power density series; sinus node; spectral morphology evaluation; spectral region area ratios; sympatho-vagal balance; wave recognition techniques; Autonomic nervous system; Biomedical engineering; Electrocardiography; Fractals; Frequency estimation; Heart rate; Heart rate variability; Morphology; Power engineering and energy; Rhythm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-2050-6
  • Type

    conf

  • DOI
    10.1109/IEMBS.1994.415458
  • Filename
    415458