• DocumentCode
    2883388
  • Title

    Phase averaged characterization of respiratory sinus arrhythmia pattern

  • Author

    Gilad, O. ; Swenne, CA ; Akselrod, S.

  • Author_Institution
    Abramson Center of Med. Phys., Tel Aviv Univ., Israel
  • fYear
    2003
  • fDate
    21-24 Sept. 2003
  • Firstpage
    697
  • Lastpage
    700
  • Abstract
    A method for the accurate time domain characterization of respiratory sinus arrhythmia (RSA), is presented. Primary heart rate (HR) changes along the respiratory phase are evaluated iteratively far selective integration of multiple respiratory cycles. A complete modulating function (RSA pattern) is evaluated accurately, with free respiration and even in cases of severe arrhythmia. RSA magnitude, phase lag, and expirium/inspirium time ratio are also derived. In a group of 10 healthy subjects, a phase lag difference of 11.4+/-8.5% was observed between supine and standing postures, possibly ascribed to breathing mechanics. A second group of 15 healthy subjects in supine rest had a consistent RSA pattern in each subject, in repeated sessions (several weeks apart), suggesting a non-scalar individual index for cardio-respiratory coupling. The method may open new insight into the effects of vagal activity and changes in clinical conditions.
  • Keywords
    electrocardiography; medical signal processing; pneumodynamics; time-domain analysis; breathing mechanics; cardio-respiratory coupling; expirium/inspirium time ratio; phase averaged characterization; phase lag; primary heart rate; respiratory sinus arrhythmia pattern; standing postures; supine rest; time domain characterization; vagal activity; Baroreflex; Blood pressure; Cardiology; Frequency modulation; Heart rate; Heart rate variability; Lungs; Mathematical model; Physics; Pulse modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2003
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-8170-X
  • Type

    conf

  • DOI
    10.1109/CIC.2003.1291251
  • Filename
    1291251