• DocumentCode
    1447471
  • Title

    Analyzing entrainment of heartbeat and respiration with surrogates

  • Author

    Seidel, H. ; Herzel, H.

  • Author_Institution
    Max-Planck-Inst. for Molecular Genetics, Berlin, Germany
  • Volume
    17
  • Issue
    6
  • fYear
    1998
  • Firstpage
    54
  • Lastpage
    57
  • Abstract
    Entrainment between two rhythms is a very well-known phenomenon in the theory of nonlinear dynamics. Although heart and respiration influence each other by several mechanisms, and though modulation of heart rate by respiration is a very well-known and investigated phenomenon, there are surprisingly few indications of true entrainment between the two rhythms. This absence might be due to an insufficient coupling strength or to disturbances by other physiological rhythms. Nonetheless, we sometimes observe intermittent phases where cardiac and respiratory rhythms run in parallel; i.e., where both rhythms seem to be entrained. However, it is not obvious how to decide whether this effect is true entrainment or whether it is just quasi-entrainment that occurs when two rhythms have an approximate frequency ratio of for example, 4:1. Therefore, we use a surrogate-data technique to determine the probability of quasi-entrainment as a function of its duration. This probability can be used to obtain a significance level for true entrainment.
  • Keywords
    biocontrol; cardiovascular system; nonlinear dynamical systems; physiological models; pneumodynamics; synchronisation; time series; cardiac rhythms; coupling strength; disturbances; heartbeat; intermittent phases; nonlinear dynamics; physiological rhythms; quasi-entrainment; respiration; respiratory rhythms; surrogate-data technique; surrogates; true entrainment; Acoustic measurements; Blood pressure; Fluid flow measurement; Frequency synchronization; Heart beat; Heart rate; Oscillators; Position measurement; Rhythm; Sequences; Adult; Algorithms; Computer Simulation; Heart; Heart Rate; Humans; Linear Models; Lung; Male; Models, Biological; Models, Cardiovascular; Oscillometry; Respiration; Respiratory Physiology; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.731321
  • Filename
    731321