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Multi-parametric cardiorespiratory analysis in late-preterm, early-term, and full-term infants at birth.

Authors :
Lucchini, Maristella
Burtchen, Nina
Fifer, William P.
Signorini, Maria G.
Source :
Medical & Biological Engineering & Computing; Jan2019, Vol. 57 Issue 1, p99-106, 8p, 1 Chart, 2 Graphs
Publication Year :
2019

Abstract

Infants born at 35-37 weeks' gestational age (GA) are at higher risk for a range of pathological conditions and poorer neurodevelopmental outcomes. However, mechanisms responsible are not fully understood. The purpose of this paper is to use traditional and novel techniques to assess newborn autonomic development as a function of GA at birth, focusing on cardiorespiratory regulation. ECG and respiration were acquired during sleep on 329 healthy newborns. Infants were divided into GA groups: 35-36 weeks (late preterm (LPT)), 37-38 weeks (early term (ET)), and 39-40 weeks (full term (FT)). Time domain, frequency domain, and non-linear measures were calculated. Increased heart rate short-term variability and complexity as a function of GA were observed in time domain and non-linear measures. Decreasing inter-breath interval variability was found as a function of GA, with increasing linear cardiorespiratory coupling. A complexity parameter (quadratic sample entropy) was less affected by arrhythmias and artifacts when compared to traditional measures. Results suggest lower maturation in LPT, with less developed cardiorespiratory regulation. This may confer risk for altered outcome, convergent with epidemiological findings. Reported examples show that a combination of methodological approaches can be beneficial to characterize autonomic maturation. Graphical abstract ᅟ. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01400118
Volume :
57
Issue :
1
Database :
Complementary Index
Journal :
Medical & Biological Engineering & Computing
Publication Type :
Academic Journal
Accession number :
133800683
Full Text :
https://doi.org/10.1007/s11517-018-1866-4