• DocumentCode
    171257
  • Title

    Clinical administration of LPS endotoxin show changes in heart rate variability are detected prior to changes in temperature

  • Author

    Demetrius, Sherley ; Griffel, Benjamin ; Jan, Badar U. ; Coyle, Susette M. ; Macor, Marie A. ; Reddell, Michael ; Calvano, Steve E. ; Semmlow, John L. ; Corbett, Siobhan ; Lowry, Stephen F.

  • Author_Institution
    Dept. of Biol., New Jersey City Univ., Jersey City, NJ, USA
  • fYear
    2014
  • fDate
    25-27 April 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Sepsis is a significant cause of hospital deaths, but early detection could save lives. Heart rate variability (HRV) is a measurement of the change in heart rate and may be useful as a marker for early detection of sepsis. In this study, E. coli endotoxin was administered to healthy human subjects and changes in temperature and HRV were monitored at 6 hours post administration. HRV features measured were pNN50 and multi-scale entropy (MSE). We modeled changes in baseline using a sigmoidal model with 3 variables to help quantify dynamics of HRV and temperature time series. Curves of HRV and temperature versus time demonstrated that changes in HRV features preceded changes in temperature. Our model fits indicate HRV changes both begin earlier and occur faster than temperature or heart rate. Our findings are consistent with other group findings that demonstrate changes in interbeat intervals can be detected earlier than other signs of systemic inflammation.
  • Keywords
    bioelectric potentials; electrocardiography; entropy; medical disorders; medical signal detection; medical signal processing; microorganisms; patient monitoring; time series; Escherichia coli endotoxin administration; HRV feature measurement; LPS endotoxin administration; early sepsis detection; heart rate variability monitoring; interbeat interval detection; multiscale entropy; sigmoidal model; temperature time series; time 6 hour; Biomedical measurement; Educational institutions; Heart rate variability; Mathematical model; Temperature measurement; Temperature sensors; heart rate variability; multi-scale entropy; nonlinear signal analysis; sepsis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference (NEBEC), 2014 40th Annual Northeast
  • Conference_Location
    Boston, MA
  • Type

    conf

  • DOI
    10.1109/NEBEC.2014.6972770
  • Filename
    6972770