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Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysisFourier-based techniques are mathematically noncausal and are therefore limited in their application to feedback-containing systems, such as the cardiovascular system. In this study, a mathematically causal time domain technique, autoregressive moving average (ARMA) analysis, was used to parameterize the relations of respiration and arterial blood pressure to heart rate in eight humans before and during total cardiac autonomic blockade. Impulse-response curves thus generated showed the relation of respiration to heart rate to be characterized by an immediate increase in heart rate of 9.1 +/- 1.8 beats.min-1.l-1, followed by a transient mild decrease in heart rate to -1.2 +/- 0.5 beats.min-1.l-1 below baseline. The relation of blood pressure to heart rate was characterized by a slower decrease in heart rate of -0.5 +/- 0.1 beats.min-1.mmHg-1, followed by a gradual return to baseline. Both of these relations nearly disappeared after autonomic blockade, indicating autonomic mediation. Maximum values obtained from the respiration to heart rate impulse responses were also well correlated with frequency domain measures of high-frequency "vagal" heart rate control (r = 0.88). ARMA analysis may be useful as a time domain representation of autonomic heart rate control for cardiovascular modeling.
Document ID
20050000188
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Triedman, J. K.
(Children's Hospital Boston 02115, United States)
Perrott, M. H.
Cohen, R. J.
Saul, J. P.
Date Acquired
August 22, 2013
Publication Date
June 1, 1995
Publication Information
Publication: The American journal of physiology
Volume: 268
Issue: 6 Pt 2
ISSN: 0002-9513
Subject Category
Life Sciences (General)
Funding Number(s)
CONTRACT_GRANT: K08-HL-02380-03
CONTRACT_GRANT: 5R01-HL-39291
CONTRACT_GRANT: 7301
Distribution Limits
Public
Copyright
Other
Keywords
NASA Discipline Regulatory Physiology
Non-NASA Center

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