Breath-by-breath analysis of cardiorespiratory interaction for quantifying developmental maturity in premature infants

In healthy neonates, connections between the heart and lungs through brain stem chemosensory pathways and the autonomic nervous system result in cardiorespiratory synchronization. This interdependence between cardiac and respiratory dynamics can be difficult to measure because of intermittent signal...

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Bibliographic Details
Published in:Journal of applied physiology (1985) 2012-03, Vol.112 (5), p.859-867
Main Authors: Clark, Matthew T, Rusin, Craig G, Hudson, John L, Lee, Hoshik, Delos, John B, Guin, Lauren E, Vergales, Brooke D, Paget-Brown, Alix, Kattwinkel, John, Lake, Douglas E, Moorman, J Randall
Format: Article
Language:English
Subjects:
Autonomic Nervous System - physiology
Birth Weight - physiology
Breath Tests - methods
Cardiac arrhythmia
Female
Gestational Age
Heart - physiology
Heart Rate - physiology
Humans
Infant, Newborn
Infant, Premature - growth & development
Infant, Premature - physiology
Intensive Care Units, Neonatal
Lung - physiology
Male
Nervous system
Physiology
Premature birth
Respiration
Respiratory Mechanics - physiology
Signal transduction
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Summary:In healthy neonates, connections between the heart and lungs through brain stem chemosensory pathways and the autonomic nervous system result in cardiorespiratory synchronization. This interdependence between cardiac and respiratory dynamics can be difficult to measure because of intermittent signal quality in intensive care settings and variability of heart and breathing rates. We employed a phase-based measure suggested by Schäfer and coworkers (Schäfer C, Rosenblum MG, Kurths J, Abel HH. Nature 392: 239-240, 1998) to obtain a breath-by-breath analysis of cardiorespiratory interaction. This measure of cardiorespiratory interaction does not distinguish between cardiac control of respiration associated with cardioventilatory coupling and respiratory influences on the heart rate associated with respiratory sinus arrhythmia. We calculated, in sliding 4-min windows, the probability density of heartbeats as a function of the concurrent phase of the respiratory cycle. Probability density functions whose Shannon entropy had a
ISSN:8750-7587
1522-1601
DOI:10.1152/japplphysiol.01152.2011