• DocumentCode
    541698
  • Title

    Tone-entropy analysis as a cardiac risk stratification tool

  • Author

    Jelinek, Herbert F. ; Khandoker, Ahsan H. ; Palaniswami, Marimuthu ; McDonald, Simon

  • Author_Institution
    Charles Sturt Univ., Albury, NSW, Australia
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    955
  • Lastpage
    958
  • Abstract
    Improving risk assessment to provide evidence for preventative intervention has recently become more of a focus in cardiovascular medicine with atherosclerosis as an early manifestation of cardiovascular disease. The total cholesterol to high-density lipoprotein (TC/HDL) ratio is often used an atherogenic index. High levels of the TC/HDL ratio also affect nervous system function and this study investigated the relationship between TC/HDL and heart rate variability measured by the tone-entropy algorithm. For tone there was a significant indication that cholesterol levels? influences autonomic nervous system function in control individuals with no cardiovascular disease, but not in diabetics. Entropy was not associated with TC/HDL in eitherthe control ordiabetes group. The relationship seen for tone and TC/HDL suggests that tone can be used as an initial risk indicator for further invasive cardiac function testing.
  • Keywords
    cardiovascular system; diseases; electrocardiography; entropy; molecular biophysics; neurophysiology; proteins; ECG; atherogenic index; atherosclerosis; autonomic nervous system function; cardiac risk stratification tool; cardiovascular disease; cardiovascular medicine; cholesterol; cholesterol levels; diabetics; heart rate variability; high-density lipoprotein; invasive cardiac function testing; nervous system; risk assessment; tone-entropy analysis; Atherosclerosis; Cardiology; Cardiovascular diseases; Diabetes; Entropy; Hardware design languages; Lipidomics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology, 2010
  • Conference_Location
    Belfast
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7318-2
  • Type

    conf

  • Filename
    5738133