Cardioventilatory coupling during anaesthesia

Galletly, D. C.; Larsen, Peter

doi:10.1093/bja/79.1.35

Cited by 67 publications

(67 citation statements)

References 14 publications

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“…During anaesthesia, the RI _1 interval is the most consistent R wave-inspiratory timing relationship during cardioventilatory coupling (Galletly & Larsen, 1997b;Larsen et al 1999b). This is one reason why we believe it is generally the heart beat immediately preceding inspiration that triggers inspiratory onset.…”

Section: Figurementioning

confidence: 95%

Cardioventilatory Coupling in Resting Human Subjects

Tzeng¹,

Larsen²,

Galletly³

2003

Experimental Physiology

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In 48 conscious resting subjects we examined the temporal coupling of heart beat timing and the onset of inspiration (cardioventilatory coupling), and the relationship between coupling and spectral indices of autonomic function. Using the proportional Shannon entropy (SHα) of the RI‐1 interval (interval between inspiration and the preceding ECG R wave) as a measure of coupling we detected statistically significant coupling in 32 of the 48 subjects. This was confirmed by visual inspection of time series plots of RI intervals, in which coupling was evident as horizontal banding. Coupling resulted in a significant preference for whole number heart rate/respiratory frequency ratios. The strongest coupling was associated with low ventilatory frequency and high heart rate variability in the high (0.15‐0.40 Hz) and low (0.04‐0.15 Hz) frequency ranges, but was not related to blood pressure variability, or to a spectral measure of baroreflex sensitivity (α‐index, low frequency range). There was no difference in coupling strength between males and females. We have previously described cardioventilatory coupling in spontaneously breathing anaesthetised subjects. The current study extends those observations by demonstrating that the qualitative features of coupling seen during anaesthesia are also observed in the conscious state. We conclude that the role of coupling in normal physiological respiratory control needs to be more widely explored.

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Section: Figurementioning

confidence: 95%

Cardioventilatory Coupling in Resting Human Subjects

Tzeng¹,

Larsen²,

Galletly³

2003

Experimental Physiology

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“…48 Cardioventilatory coupling (CVC) is another concept, which specifically refers to the influence of timing of breathing on cardiac activity. 17,19,47 CVC is quantified based on the temporary alignment between the R waves of the electrocardiogram (ECG) and inspiratory onsets, using the R-peak to inspiratory-onset interval plot. Galletly and Larsen showed that during anesthesia CVC places the heart beats and inspiratory onsets such that they are maximally affected by vagal modulation of RSA implying common physiological roles and significant relationship between CVC and RSA.…”

Section: Introductionmentioning

confidence: 99%

Quantification of Cardiorespiratory Interactions Based on Joint Symbolic Dynamics

et al. 2011

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Abstract-Cardiac and respiratory rhythms are highly nonlinear and nonstationary. As a result traditional time-domain techniques are often inadequate to characterize their complex dynamics. In this article, we introduce a novel technique to investigate the interactions between R-R intervals and respiratory phases based on their joint symbolic dynamics. To evaluate the technique, electrocardiograms (ECG) and respiratory signals were recorded in 13 healthy subjects in different body postures during spontaneous and controlled breathing. Herein, the R-R time series were extracted from ECG and respiratory phases were obtained from abdomen impedance belts using the Hilbert transform. Both time series were transformed into ternary symbol vectors based on the changes between two successive R-R intervals or respiratory phases. Subsequently, words of different symbol lengths were formed and the correspondence between the two series of words was determined to quantify the interaction between cardiac and respiratory cycles. To validate our results, respiratory sinus arrhythmia (RSA) was further studied using the phase-averaged characterization of the RSA pattern. The percentage of similarity of the sequence of symbols, between the respective words of the two series determined by joint symbolic dynamics, was significantly reduced in the upright position compared to the supine position (26.4 ± 4.7 vs. 20.5 ± 5.4%, p < 0.01). Similarly, RSA was also reduced during upright posture, but the difference was less significant (0.11 ± 0.02 vs. 0.08 ± 0.01 s, p < 0.05). In conclusion, joint symbolic dynamics provides a new efficient technique for the analysis of cardiorespiratory interaction that is highly sensitive to the effects of orthostatic challenge.

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“…Although the functional role and precise physiological basis of cardio-respiratory interactions are still being revealed [13], it has been shown that this interaction changes between different states, such as during anaesthesia [14]. Phase-transition-like phenomena in synchronization have been shown to occur in rats as their depth of anaesthesia varies [9].…”

Section: Introductionmentioning

confidence: 99%

The effect of low-frequency oscillations on cardio-respiratory synchronization

et al. 2008

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We show that the transitions which occur between close orders of synchronization in the cardiorespiratory system are mainly due to modulation of the cardiac and respiratory processes by lowfrequency components. The experimental evidence is derived from recordings on healthy subjects at rest and during exercise. Exercise acts as a perturbation of the system that alters the mean cardiac and respiratory frequencies and changes the amount of their modulation by low-frequency oscillations. The conclusion is supported by numerical evidence based on a model of phasecoupled oscillators, with white noise and low-frequency noise. Both the experimental and numerical approaches confirm that low-frequency oscillations play a significant role in the transitional behavior between close orders of synchronization.

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Cardioventilatory coupling during anaesthesia

Cited by 67 publications

References 14 publications

Cardioventilatory Coupling in Resting Human Subjects

Cardioventilatory Coupling in Resting Human Subjects

Quantification of Cardiorespiratory Interactions Based on Joint Symbolic Dynamics

The effect of low-frequency oscillations on cardio-respiratory synchronization

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