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Related Experiment Videos

Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysis

J K Triedman1, M H Perrott, R J Cohen

  • 1Department of Cardiology, Children's Hospital, Boston 02115, USA.

The American Journal of Physiology
|June 1, 1995
PubMed
Summary
This summary is machine-generated.

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Autoregressive moving average (ARMA) analysis, a causal time-domain technique, effectively characterized heart rate variability in humans. This method revealed autonomic control of heart rate in response to respiration and blood pressure changes.

Area of Science:

  • Physiology
  • Biomedical Engineering
  • Cardiovascular Research

Background:

  • Traditional Fourier-based methods are limited in analyzing feedback systems like the cardiovascular system due to mathematical noncausality.
  • Understanding the autonomic control of heart rate is crucial for cardiovascular modeling and clinical applications.

Purpose of the Study:

  • To apply a causal time-domain technique, Autoregressive Moving Average (ARMA) analysis, for parameterizing cardiovascular autonomic control.
  • To investigate the relationships between respiration, arterial blood pressure, and heart rate in humans before and after autonomic blockade.

Main Methods:

  • Utilized Autoregressive Moving Average (ARMA) analysis, a mathematically causal time-domain technique.
  • Collected data from eight human subjects under baseline conditions and during total cardiac autonomic blockade.
Keywords:
NASA Discipline Regulatory PhysiologyNon-NASA Center

Related Experiment Videos

  • Generated impulse-response curves to quantify the relationships between physiological inputs and heart rate output.

    • Main Results:

    • The relationship between respiration and heart rate showed an initial increase followed by a transient decrease.
    • The relationship between blood pressure and heart rate demonstrated a delayed decrease and subsequent return to baseline.
    • These autonomic-mediated responses were significantly diminished after cardiac autonomic blockade.
    • ARMA analysis results correlated well with established frequency-domain measures of vagal control (r = 0.88).

    Conclusions:

    • ARMA analysis provides a valuable time-domain representation for modeling autonomic heart rate control.
    • The study confirms the significant role of the autonomic nervous system in mediating heart rate responses to respiratory and blood pressure variations.
    • This causal time-domain approach offers an alternative to noncausal frequency-domain methods for analyzing complex physiological systems.