ArticleEarly human development2011
Assessment of cardio-respiratory interactions in preterm infants by bivariate autoregressive modeling and surrogate data analysis.
Article in Early human development, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- The origins of embodiment: behavioral and cardiovascular responses to music in very preterm newborns.Scientific reports · 2026Article
- Cardiorespiratory mechanisms triggered during music perception in preterm infants and adults.iScience · 2025Article
- Neonatal heart rate variability: a contemporary scoping review of analysis methods and clinical applications.BMJ open · 2021Article
- Cardiorespiratory coupling in preterm infants.Journal of applied physiology (Bethesda, Md. : 1985) · 2019Article
- Time-varying signal analysis to detect high-altitude periodic breathing in climbers ascending to extreme altitude.Medical & biological engineering & computing · 2015Article
- Breath-by-breath analysis of cardiorespiratory interaction for quantifying developmental maturity in premature infants.Journal of applied physiology (Bethesda, Md. : 1985) · 2012Article
- Autonomic Regulation during Quiet and Active Sleep States in Very Preterm Neonates.Frontiers in physiology · 2012Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundCardio-respiratory interactions are weak at the earliest stages of human development, suggesting that assessment of their presence and integrity may be an important indicator of development in infants. Despite the valuable research devoted to infant development, there is still a need for specifically targeted standards and methods to assess cardiopulmonary functions in the early stages of life. We present a new methodological framework for the analysis of cardiovascular variables in preterm infants. Our approach is based on a set of mathematical tools that have been successful in quantifying important cardiovascular control mechanisms in adult humans, here specifically adapted to reflect the physiology of the developing cardiovascular system.
methodsWe applied our methodology in a study of cardio-respiratory responses for 11 preterm infants. We quantified cardio-respiratory interactions using specifically tailored multivariate autoregressive analysis and calculated the coherence as well as gain using causal approaches. The significance of the interactions in each subject was determined by surrogate data analysis. The method was tested in control conditions as well as in two different experimental conditions; with and without use of mild mechanosensory intervention.
resultsOur multivariate analysis revealed a significantly higher coherence, as confirmed by surrogate data analysis, in the frequency range associated with eupneic breathing compared to the other ranges.
conclusionsOur analysis validates the models behind our new approaches, and our results confirm the presence of cardio-respiratory coupling in early stages of development, particularly during periods of mild mechanosensory intervention, thus encouraging further application of our approach.
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