1991
DOI: 10.1152/ajpheart.1991.261.4.h1231
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Transfer function analysis of the circulation: unique insights into cardiovascular regulation

Abstract: We have demonstrated previously that transfer function analysis can be used to precisely characterize the respiratory sinus arrhythmia (RSA) in normal humans. To further investigate the role of the autonomic nervous system in RSA and to understand the complex links between respiratory activity and arterial pressure, we determined the transfer functions between respiration, heart rate (HR), and phasic, systolic, diastolic, and pulse arterial pressures in 14 healthy subjects during 6-min periods in which the res… Show more

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Cited by 499 publications
(698 citation statements)
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“…The parameters were transformed by natural logarithm to produce an approximately normal distribution. Since variations in respiration can bias the relationship between traditional spectral measures and vagal activity (Grossman & Taylor, 2007), transfer-function RSA (TF-RSA) was quantified as the magnitude of the transfer function relating RR-interval oscillations to tidal volume oscillations at the peak respiratory frequency (Saul et al, 1991). TF-RSA data were excluded if spectral coherence between tidal volume and RR-interval was below 0.5 (Rottenberg, Wilhelm, Gross, & Gotlib, 2002), because less coherence would indicate sources for RR-interval variation other than respiration.…”
Section: Physiological Measuresmentioning
confidence: 99%
“…The parameters were transformed by natural logarithm to produce an approximately normal distribution. Since variations in respiration can bias the relationship between traditional spectral measures and vagal activity (Grossman & Taylor, 2007), transfer-function RSA (TF-RSA) was quantified as the magnitude of the transfer function relating RR-interval oscillations to tidal volume oscillations at the peak respiratory frequency (Saul et al, 1991). TF-RSA data were excluded if spectral coherence between tidal volume and RR-interval was below 0.5 (Rottenberg, Wilhelm, Gross, & Gotlib, 2002), because less coherence would indicate sources for RR-interval variation other than respiration.…”
Section: Physiological Measuresmentioning
confidence: 99%
“…Power spectral analysis of BPV provides another tool for assessing the relationship between the autonomic and vascular systems. 164,165 The low frequency systolic blood pressure (LF SBP ) component of BPV represents sympathetic vasomotor tone, while the high frequency (HF SBP ) component depicts the mechanical e ects of respiration on blood pressure. Because HRV methods only isolate cardiac vagal activity (HF RRI ), a combination of the LF SBP component of BPV and the HF RRI component of HRV provides a more complete picture of parasympathetic and sympathetic cardiovascular regulation.…”
Section: Hrv and Bpv Analysismentioning
confidence: 99%
“…It appears that BRS (the TF between 0.05 and 0.15 Hz) may lower with high sympathetic gain to the heart. This is caused by the differences in the latencies/time constants in the sympathetic (17,41) and vagal (6,48) limbs, bringing the vagal and the sympathetic effects in counterphase in the BRS frequency band. Hence, there are situations thinkable in which cancellation of vagal effects on heart rate by concurring sympathetic effects on heart rate in counterphase incorrectly suggest a deficient baroreflex.…”
Section: Limitations Of the Modelmentioning
confidence: 99%