• DocumentCode
    2917541
  • Title

    Band-phase-randomized surrogate data reveal high-frequency chaos in heart rate variability

  • Author

    Li, Cheng ; Ding, Guang-Hong ; Wu, Guo-Qiang ; Poon, Chi-Sang

  • Author_Institution
    Harvard-MIT Div. of Health Sci. & Technol., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    2806
  • Lastpage
    2809
  • Abstract
    We propose a new band-phase-randomized surrogate data method to evaluate the chaotic dynamics in the high (HF) and low frequency (LF) bands of heart rate variability (HRV) in healthy subjects. The chaotic strength of normal HRV as assessed by a noise titration assay completely vanished when its power spectrum was phase-randomized over the entire frequency band or the HF band alone, but not the LF band alone. This finding confirms recent evidence that chaotic dynamics in normal HRV is ascribable mainly to the HF component, or respiratory sinus arrhythmia.
  • Keywords
    chaos; electrocardiography; medical signal processing; nonlinear dynamical systems; HRV high frequency band; HRV low frequency band; band-phase-randomized surrogate data; chaotic dynamics; heart rate variability; high frequency chaos; noise titration assay; respiratory sinus arrhythmia; Cardiology; Chaos; Hafnium; Heart rate variability; Noise; Resonant frequency; Time series analysis; Adult; Algorithms; Arrhythmia, Sinus; Biomedical Engineering; Circadian Rhythm; Heart Rate; Humans; Models, Statistical; Nonlinear Dynamics; Normal Distribution; Regression Analysis; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5626061
  • Filename
    5626061