• DocumentCode
    2818787
  • Title

    Decomposition of heartbeat time series: scaling analysis of the sign sequence

  • Author

    Ashkenazy, Y. ; Ivanov, Pch ; Havlin, S. ; Peng, Ck ; Yamamoto, Y. ; Goldberger, A.L. ; Stanley, He

  • Author_Institution
    Center for Polymer Studies, Boston Univ., MA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    139
  • Lastpage
    142
  • Abstract
    The cardiac interbeat (RR) increment time series can be decomposed into two sub-sequences: a magnitude series and a sign series. The authors show that the sign sequence, a simple binary representation of the original RR series, retains fundamental scaling properties of the original series, is robust with respect to outliers, and may provide useful information about neuroautonomic control mechanisms
  • Keywords
    biocontrol; cardiology; medical signal processing; neurophysiology; time series; fundamental scaling properties; heartbeat time series decomposition; magnitude series; neuroautonomic control mechanisms; original RR series; outliers; scaling analysis; sign sequence; sign series; simple binary representation; Fluctuations; Heart beat; Helium; Mechanical factors; Medical diagnostic imaging; Physics education; Physiology; Polymers; Rail to rail inputs; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2000
  • Conference_Location
    Cambridge, MA
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-6557-7
  • Type

    conf

  • DOI
    10.1109/CIC.2000.898475
  • Filename
    898475