Dynamic changes in cardiac vagal tone as measured by time-series analysis

1990 ◽  
Vol 258 (3) ◽  
pp. H896-H902 ◽  
Author(s):  
G. E. Billman ◽  
J. P. Dujardin
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Rate Control ◽  
Vagal Tone ◽  
Heart Rate Control ◽  
Dynamic Changes ◽  
Sinus Arrhythmia ◽  
Cardiac Vagal Tone ◽  
Series Analysis

A time-series analysis of heart rate variability was evaluated as a marker of cardiac vagal tone using well-characterized autonomic interventions. Heart period (R-R interval) was recorded in 14 mongrel dogs from which the amplitude of the respiratory sinus arrhythmia (0.24-1.04 Hz) was determined. Exercise elicited significant (P less than 0.01) reductions in the index of vagal tone (control 6.3 +/- 0.3 ln ms2 vs. exercise 2.4 +/- 0.4 ln ms2) that were accompanied by significant (P less than 0.01) increases in heart rate (control 123.1 +/- 5 vs. exercise 201.0 +/- 7.7 beats/min). The vagal tone index remained greater than 0 throughout exercise. After propranolol HCl pretreatment, the vagal tone index rapidly decreased toward zero (control 6.2 +/- 0.5; exercise 0.7 +/- 0.3 ln ms2), despite significantly lower increases in heart rate (control 109.3 +/- 4.2; exercise 178.0 +/- 7.6 beats/min). Atropine given during exercise evoked significantly greater increases in heart rate in the control (+48.7 +/- 7.9 beats/min) vs. propranolol (+14.2 +/- 6.7 beats/min) conditions. These data suggest that 1) high levels of cardiac vagal tone remain during exercise; 2) vagal withdrawal is largely responsible for the heart rate increase after beta-adrenergic receptor blockade; and 3) time-series analysis of the R-R interval can provide a dynamic and noninvasive index of cardiac vagal tone.

Heart Rate Variability in Intensive Care

1998 ◽  
Vol 13 (5) ◽  
pp. 252-265 ◽  
Author(s):  
Brahm Goldstein ◽  
Timothy G. Buchman
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Intensive Care ◽  
Time Series Analysis ◽  
Fetal Distress ◽  
Heart Beat ◽  
Dynamic Interactions ◽  
Series Analysis ◽  
Injured Patients

Clinicians have long been aware that the normal oscillations in a heart beat are lost during fetal distress, during the early stages of heart failure, with advanced aging, and with critical illness and injury. However, these oscillations, or variability in heart rate and other cardiovascular signals, have largely been ignored or discounted as variances from the mean or average values. It is becoming increasingly clear that these oscillations reflect the dynamic interactions of many physiologic processes, including neuroautonomic regulation of heart rate and blood pressure. We present a synthesis and review of the current literature concerning heart rate variability with special reference to intensive care. This article describes the background of time series analysis of heart rate variability including time and frequency domain and nonlinear measurements. The implications and potential for time series analysis of variability in cardiovascular signals in clinical diagnosis and management of critically ill and injured patients are discussed.

Use of a prototype pulse oximeter for time series analysis of heart rate variability

2015 ◽  
Author(s):  
Erika González ◽  
Jehú López ◽  
Mathieu Hautefeuille ◽  
Víctor Velázquez ◽  
Jésica Del Moral
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Heart Rate Variability ◽  
Time Series Analysis ◽  
Pulse Oximeter ◽  
Series Analysis

scholarly journals Associations between Acoustic Features of Maternal Speech and Infants' Emotion Regulation following a Social Stressor

2021 ◽  
Author(s):  
Jacek Kolacz ◽  
Elizabeth B daSilva ◽  
Gregory F Lewis ◽  
Bennett I Bertenthal ◽  
Stephen W Porges
Keyword(s):  
Heart Rate ◽  
Social Engagement ◽  
Vagal Tone ◽  
Fast Fourier Transformation ◽  
Acoustic Features ◽  
Sinus Arrhythmia ◽  
Cardiac Vagal Tone ◽  
Gaze Aversion ◽  
Maternal Speech ◽  
Electrocardiogram Ecg

Caregiver voices may provide cues to mobilize or calm infants. This study examined whether maternal prosody predicted changes in infants' biobehavioral state during the Still Face, a stressor in which the mother withdraws and reinstates social engagement. Ninety-four dyads participated in the study (infant age 4-8 months). Infants' heart rate and respiratory sinus arrhythmia (measuring cardiac vagal tone) were derived from an electrocardiogram (ECG). Infants' behavioral distress was measured by negative vocalizations, facial expressions, and gaze aversion. Mothers' vocalizations were measured with spectral analysis and spectro-temporal modulation using a two-dimensional fast Fourier transformation of the audio spectrogram. High values on the maternal prosody composite were associated with decreases in infants' heart rate (β=-.26, 95% CI: [-.46, -.05]) and behavioral distress (β=- .20, 95% CI: [-.38, -.02]), and increases in cardiac vagal tone in infants whose vagal tone was low during the stressor (1 SD below mean β=.39, 95% CI: [.06, .73]). High infant heart rate predicted increases in the maternal prosody composite (β=.18, 95% CI: [.03, .33]). These results suggest specific vocal acoustic features of speech that are relevant for regulating infants' biobehavioral state and demonstrate mother-infant bi-directional dynamics.

scholarly journals Time Series Analysis of Heart Rate Variabililty during Mental Workload

1993 ◽  
Vol 29 (Supplement) ◽  
pp. 410-411
Author(s):  
Kiyoko YOKOYAMA ◽  
Masanori MOYOSHI ◽  
Yosaku WATANABE ◽  
Kazuyuki TAKATA
Keyword(s):  
Heart Rate ◽  
Time Series ◽  
Time Series Analysis ◽  
Mental Workload ◽  
Series Analysis

Respiratory sinus arrhythmia: time domain characterization using autoregressive moving average analysis

1995 ◽  
Vol 268 (6) ◽  
pp. H2232-H2238 ◽  
Author(s):  
J. K. Triedman ◽  
M. H. Perrott ◽  
R. J. Cohen ◽  
J. P. Saul
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Time Domain ◽  
Rate Control ◽  
Moving Average ◽  
Autoregressive Moving Average ◽  
Heart Rate Control ◽  
Sinus Arrhythmia ◽  
Arterial Blood ◽  
Autonomic Blockade

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.

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