Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2013
    • Abstract:
      Septic shock is a leading cause of hospital deaths in the United States. A system to detect initial immune response to an infection could allow for treatment before septic shock occurs, which would save many lives. Here, we demonstrate the analysis of beat-to-beat heart rate intervals using the Hilbert-Huang transform (HHT) as a method of detection of the immune/inflammatory response. The HHT is ideal for nonlinear nonstationary signals. This works by detecting differences in the heart rate variability (HRV), a marker of autonomic signaling to the heart. The instantaneous frequency (IF) as computed via the HHT was compared with spectral analysis and pNN50, Our data set were beat-to-beat intervals measured from subjects administered bacterial endotoxin ranging in dose from 0.1-2.0 ng/kg. Measurements were compared with placebo. While all measurements accurately differentiated the 2.0 ng/kg dosage and placebo groups, the IF showed improved discrimination at lower dosages. The first mode was found to be most significant for discrimination, though each mode could classify subjects with at least 77% accuracy, indicating that information is contained at many scales within the beat-to-beat intervals. The IF appears to have superior sensitivity to parasympathetic signaling reflected in the beat-to-beat interval.
    • Contents Note:
      Conference Acronym: SPMB
    • Author Affiliations:
      Dept. of Mol. Biol. & Biochem., State Univ. of New Jersey, Piscataway, NJ, USA
      Dept. of Surg., State Univ. of New Jersey, New Brunswick, NJ, USA
    • ISBN:
      978-1-4799-3007-4
    • Relation:
      2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB)
    • Accession Number:
      10.1109/SPMB.2013.6736766
    • Rights:
      Copyright 2013, IEEE
    • AMSID:
      6736766
    • Conference Acronym:
      SPMB
    • Date of Current Version:
      2013
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Brooklyn, NY, USA

      Conference Start Date: 7 Dec. 2013

      Conference End Date: 7 Dec. 2013
    • Accession Number:
      edseee.6736766
  • Citations
    • ABNT:
      GRIFFEL, B. et al. Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis. 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, [s. l.], p. 1–5, 2013. DOI 10.1109/SPMB.2013.6736766. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.6736766. Acesso em: 13 ago. 2020.
    • AMA:
      Griffel B, Calvano SE, Coyle SM, et al. Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis. 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE. December 2013:1-5. doi:10.1109/SPMB.2013.6736766
    • APA:
      Griffel, B., Calvano, S. E., Coyle, S. M., Macor, M. A., Jan, B. U., Reddell, M., Semmlow, J. L., Corbett, S., & Lowry, S. F. (2013). Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis. 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, 1–5. https://doi.org/10.1109/SPMB.2013.6736766
    • Chicago/Turabian: Author-Date:
      Griffel, B., S.E. Calvano, S.M. Coyle, M.A. Macor, B.U. Jan, M. Reddell, J.L. Semmlow, S. Corbett, and S.F. Lowry. 2013. “Instantaneous Frequency Analysis Shows Greater Sensitivity to Parasympathetic Components of Heart Rate than Spectral Analysis.” 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, December, 1–5. doi:10.1109/SPMB.2013.6736766.
    • Harvard:
      Griffel, B. et al. (2013) ‘Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis’, 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, pp. 1–5. doi: 10.1109/SPMB.2013.6736766.
    • Harvard: Australian:
      Griffel, B, Calvano, SE, Coyle, SM, Macor, MA, Jan, BU, Reddell, M, Semmlow, JL, Corbett, S & Lowry, SF 2013, ‘Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis’, 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, pp. 1–5, viewed 13 August 2020, .
    • MLA:
      Griffel, B., et al. “Instantaneous Frequency Analysis Shows Greater Sensitivity to Parasympathetic Components of Heart Rate than Spectral Analysis.” 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, Dec. 2013, pp. 1–5. EBSCOhost, doi:10.1109/SPMB.2013.6736766.
    • Chicago/Turabian: Humanities:
      Griffel, B., S.E. Calvano, S.M. Coyle, M.A. Macor, B.U. Jan, M. Reddell, J.L. Semmlow, S. Corbett, and S.F. Lowry. “Instantaneous Frequency Analysis Shows Greater Sensitivity to Parasympathetic Components of Heart Rate than Spectral Analysis.” 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE, December 1, 2013, 1–5. doi:10.1109/SPMB.2013.6736766.
    • Vancouver/ICMJE:
      Griffel B, Calvano SE, Coyle SM, Macor MA, Jan BU, Reddell M, et al. Instantaneous frequency analysis shows greater sensitivity to parasympathetic components of heart rate than spectral analysis. 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE [Internet]. 2013 Dec 1 [cited 2020 Aug 13];1–5. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.6736766