Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysis.
Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysis.
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呼吸性窦性心律失常:使用自回归移动平均分析进行时域表征。
DOI:
10.1152/ajpheart.1995.268.6.h2232
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发表时间:
1995
期刊:
影响因子:
--
通讯作者:
Saul,JP
中科院分区:
文献类型:
--
作者:
Triedman,JK;Perrott,MH;Cohen,RJ;Saul,JP
Fourier-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.