1995
DOI: 10.1002/mus.880180111
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Transfer function analysis of respiratory sinus arrhythmia: A measure of autonomic function in diabetic neuropathy

Abstract: Standard techniques measuring heart rate (HR) variability do not account for its dependence on the rate and depth of respiration or measure the time relationship between changes in lung volume and HR. We used transfer function analysis to determine the magnitude and time relationship of the HR response to a known change in lung volume in controls and diabetics. This technique demonstrated significant differences between controls and diabetics with varying degrees of autonomic dysfunction. Specifically, reduced… Show more

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Cited by 31 publications
(16 citation statements)
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References 28 publications
(4 reference statements)
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“…Three, in D0 and D1 patients the autonomic impairment was more clear and consistent when quantified by multivariate analysis techniques than when separately focusing on blood pressure or RR interval variability alone. This is exemplified by previous data obtained through transfer function analysis between respiration and heart rate fluctuations, which has provided an accurate description of the features of autonomic cardiac control in these patients [36], and by the data obtained in our study by use of another multivariate approach, i. e. through time and frequency domain estimates of baroreflex. Thus, estimation of baroreflex cardiac modulation by joint analysis of blood pressure and RR interval fluctuations seems to be more sensitive in the early detection of autonomic cardiac neuropathy occurring in diabetes than the quantification of RR interval variability, the two measures showing only a limited correlation.…”
Section: Discussionsupporting
confidence: 64%
“…Three, in D0 and D1 patients the autonomic impairment was more clear and consistent when quantified by multivariate analysis techniques than when separately focusing on blood pressure or RR interval variability alone. This is exemplified by previous data obtained through transfer function analysis between respiration and heart rate fluctuations, which has provided an accurate description of the features of autonomic cardiac control in these patients [36], and by the data obtained in our study by use of another multivariate approach, i. e. through time and frequency domain estimates of baroreflex. Thus, estimation of baroreflex cardiac modulation by joint analysis of blood pressure and RR interval fluctuations seems to be more sensitive in the early detection of autonomic cardiac neuropathy occurring in diabetes than the quantification of RR interval variability, the two measures showing only a limited correlation.…”
Section: Discussionsupporting
confidence: 64%
“…Moreover, CFT increases baroreflex sensitivity (BRS) -as determined by calculation of the LF transfer function gain between BP and HR [13,29,30]. The increase of BRS indicates that a given increase in blood pressure results in a greater decrease of heart rate during CFT than at rest [28]. Normally, it has been shown that BRS decreases during physical or psychological stress such as painful stimuli or physical effort [32].…”
Section: Discussionmentioning
confidence: 99%
“…To evaluate the influence of respiration on heart rate we calculated the gain of the transfer function between respiration and heart rate in the high frequency (0.15-0.5 Hz) band for coherence values above 0.5 [13,28]. To assess baroreceptor reflex sensitivity before and during cold face test, we calculated the gain of the transfer function between systolic blood pressure and heart rate in the low frequency (0.04-0.15 Hz) band for coherence values above 0.5 [13,20,29,30].…”
Section: Methodsmentioning
confidence: 99%
“…In further analyses, we employed a measure of RSA adjusted for respiration by dividing untransformed RSA by Vt. Used in previous research (12,15,32,45,51,53), this parameter is the transfer function, or gain, of RSA in milliseconds per milliliter of tidal volume change. As with the uncorrected RSA analyses, we calculated individual-subject regressions of this RSA transfer function (RSATF) in relation to minute-to-minute HR, Vm, and accelerometer activity.…”
Section: Subjectsmentioning
confidence: 99%