SA nodal parasympathectomy delineates autonomic control of heart rate power spectrum

Randall, David C.; Brown, David R.; Raisch, R. M.; Yingling, Jeffrey D.; Randall, Walter C.

doi:10.1152/ajpheart.1991.260.3.h985

Cited by 99 publications

(100 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…8,16 The low-to high-frequency ratio therefore reflects the balance between the sympathetic and the parasympathetic activities. [30][31][32] Studies from Siira et al and Salamalekis et al showed a predominant increase in the low-frequency domain and, therefore, a higher low-to high-frequency ratio in acidotic fetuses, consistent with the increase in sympathetic system activity induced by hypoxia. 16,19,31,32 Interestingly, one of the multifractal parameter we studied (zeta(2)), which is related to low-to highfrequency ratio, also showed a predominant increase in sympathetic component when fetal acidosis developed.…”

Section: Discussionmentioning

confidence: 70%

Multifractal Analysis of Fetal Heart Rate Variability in Fetuses with and without Severe Acidosis during Labor

et al. 2010

View full text Add to dashboard Cite

We performed multifractal analysis of fetal heart rate (FHR) variability in fetuses with and without acidosis during labor. Multifractal analysis was performed on fetal electrocardiograms in 10-minute sliding windows within the last 2 hours before delivery in 45 term fetuses divided in three groups according to umbilical arterial pH and FHR pattern: group A had pH !7.30 and normal FHR, group B had pH !7.30 and intermediate or abnormal FHR, and group C had acidosis (pH 7.05) and intermediate or abnormal FHR. Six multifractal parameters were compared using Wilcoxon rank sum test. Multifractal parameters were significantly different between the three groups in the last 10 minutes before delivery (p <0.05). Two parameters (h min , zeta(2)) exhibited a significant difference 70 minutes before delivery, and one parameter (C 2 ) was different 10 minutes before birth (p <0.05). Multifractal parameters were significantly different in acidotic and nonacidotic fetuses, independently from FHR pattern.

show abstract

Section: Discussionmentioning

confidence: 70%

Multifractal Analysis of Fetal Heart Rate Variability in Fetuses with and without Severe Acidosis during Labor

et al. 2010

View full text Add to dashboard Cite

show abstract

“…to cardiac variability (18)(19)(20). Automated analyses of and heart rate variability have been described in healthy digitally acquired cardiorespiratory signals can also help full-term newborns (21,22).…”

Section: Discussionmentioning

confidence: 99%

Cardiorespiratory Behavior during Sleep in Full-Term and Preterm Neonates at Comparable Postconceptional Term Ages

et al. 1994

View full text Add to dashboard Cite

Cardiorespiratory behavior during sleep has been investigated by comparing visually analyzed minutes of EEG sleep with the digitized values of these two physiologic variables for each corresponding minute. Continuous 3-h nighttime sleep studies on 37 full-term and preterm neonates at comparable postconceptional term ages were acquired under controlled conditions, using a 24-channel computerized monitoring system and an automated eventmarker program. Five thousand, two hundred ninety-four minutes were assigned an EEG state by traditional criteria. Eighteen preterm infants were compared with 19 full-term infants with respect to six cardiac and six respiratory measures: two nonspectral calculations (i.e. average per minute and variance of the means) and four spectral calculations of the cardiorespiratory signal (i.e. bandwidth, spectral edge, mean frequency, and ratio of harmonics). The relative capabilities of these measures to predict a sleep state change were investigated using discriminant analysis. A stepwise selection algorithm in discriminant analysis was used to identify the order of significance for the remaining variables. Eight cardiorespiratory measures were then submitted to multivariate analysis of variance to assess sleep state or preterm-full-term differences: mean frequency, bandwidth, average per minute, and ratio of harmonics for cardiac signals; and spectral edge, mean frequency, logarithm of variance, and ratio of harmonics for respiratory signals. Differences among the sleep states and between neonatal groups were highly significant ( p < 0.0001). Interaction between sleep state and neonatal group was also significant ( p < 0.034). Two variables differentiated preterm from full-term respiratory behavior: ratio ( p I 0.001) and mean frequency ( p 5 0.02). Three variables demonstrated differences between preterm and full-term cardiac behavior: average heart rate per minute ( p I 0.001), ratio ( p I 0.05), and bandwidth ( p I 0.08). Notably, the lowest values for most spectral measures were noted during tract5 alternant quiet sleep compared with the three other segments of the ultradian sleep cycle. Our findings demonstrate sleep state-specific differences in cardiorespiratory behavior in neonates regardless of prematurity. Differences between preterm and full-term infants reflect altered functional development of the brain because of adaptation to prematurity, an extrauterine experience, or both and may contribute to a model of physiologic vulnerability of certain infants for sudden infant death syndrome. (Pediatr Res 36: 738-744, 1994) Abbreviations SIDS, sudden infant death syndrome EEG sleep organization, in general, is comparable for have been described between full-term and preterm inall newborns at postconceptional term ages regardless of fants in cardiorespiratory behavior, rapid eye moveprematurity at birth (1, 2). However, differences also ments, spectral content, and state organization (3-11).W e have reported differences between full-term and Received April 16, 1993; accepted May 18, ...

show abstract

“…27,29,30 Although many investigators use the LF band as an index of sympathetic modulation, this practice is somewhat controversial because of the additional contribution of parasympathetic tone. 25 VLF power (0.003-0.04 Hz) represents the sympathetic activity.…”

Section: -28mentioning

confidence: 99%

Heart Rate Variability as a Predictor of Cardiac Dysrhythmias During Weaning From Mechanical Ventilation

Hammash

Moser

Frazier

et al. 2015

American Journal of Critical Care

View full text Add to dashboard Cite

ACNP-bC, dNPBackground Weaning from mechanical ventilation to spontaneous breathing is associated with changes in the hemodynamic and autonomic nervous systems that are reflected by heart rate variability. Although cardiac dysrhythmias are an important manifestation of hemodynamic alterations, the impact of heart rate variability on the occurrence of dysrhythmias during weaning has not been specifically studied. Objectives To describe differences in heart rate variability spectral power and occurrence of cardiac dysrhythmias at baseline and during the initial trial of weaning from mechanical ventilation and to evaluate the impact of heart rate variability during weaning on occurrence of dysrhythmias. Method Continuous 3-lead electrocardiographic recordings were collected from 35 patients receiving mechanical ventilation for 24 hours at baseline and during the initial weaning trial. Heart rate variability was evaluated by using spectral power analysis. Results Low-frequency power increased (P = .04) and highfrequency and very-low-frequency power did not change during weaning. The mean number of supraventricular ectopic beats per hour during weaning was higher than the mean at baseline (P < .001); the mean of ventricular ectopic beats did not change. Low-frequency power was a predictor of ventricular and supraventricular ectopic beats during weaning (P < .001). High-frequency power was predictive of ventricular and supraventricular (P = .02) ectopic beats during weaning. Verylow-frequency power was predictive of ventricular ectopic beats (P < .001) only. Conclusion Heart rate variability power spectra during weaning were predictive of dysrhythmias.

show abstract

SA nodal parasympathectomy delineates autonomic control of heart rate power spectrum

Cited by 99 publications

References 0 publications

Multifractal Analysis of Fetal Heart Rate Variability in Fetuses with and without Severe Acidosis during Labor

Multifractal Analysis of Fetal Heart Rate Variability in Fetuses with and without Severe Acidosis during Labor

Cardiorespiratory Behavior during Sleep in Full-Term and Preterm Neonates at Comparable Postconceptional Term Ages

Heart Rate Variability as a Predictor of Cardiac Dysrhythmias During Weaning From Mechanical Ventilation

Contact Info

Product

Resources

About