Maturation of the Autonomic Nervous System in Premature Infants: Estimating Development Based on Heart-Rate Variability Analysis
Autor: | Mario Lavanga, Gunnar Naulaers, Elisabeth Heremans, Bieke Bollen, Alexander Caicedo, Els Ortibus, Katrien Jansen, Jonathan Moeyersons, Sabine Van Huffel |
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Přispěvatelé: | Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM) |
Rok vydání: | 2020 |
Předmět: |
Bradycardia
Multivariate statistics medicine.medical_specialty Physiology 0206 medical engineering HRV 02 engineering and technology bradycardia lcsh:Physiology 03 medical and health sciences 0302 clinical medicine Physiology (medical) Internal medicine medicine Heart rate variability preterm infants development Original Research lcsh:QP1-981 business.industry [SCCO.NEUR]Cognitive science/Neuroscience autonomic nervous system Postmenstrual Age Gestational age Regression analysis 020601 biomedical engineering Regression Autonomic nervous system Cardiology medicine.symptom business 030217 neurology & neurosurgery |
Zdroj: | Frontiers in Physiology Frontiers in Physiology, Frontiers, 2021, 11, ⟨10.3389/fphys.2020.581250⟩ Frontiers in Physiology, Vol 11 (2021) |
ISSN: | 1664-042X |
Popis: | This study aims at investigating the development of premature infants' autonomic nervous system (ANS) based on a quantitative analysis of the heart-rate variability (HRV) with a variety of novel features. Additionally, the role of heart-rate drops, known as bradycardias, has been studied in relation to both clinical and novel sympathovagal indices. ECG data were measured for at least 3 h in 25 preterm infants (gestational age ≤32 weeks) for a total number of 74 recordings. The post-menstrual age (PMA) of each patient was estimated from the RR interval time-series by means of multivariate linear-mixed effects regression. The tachograms were segmented based on bradycardias in periods after, between and during bradycardias. For each of those epochs, a set of temporal, spectral and fractal indices were included in the regression model. The best performing model has R2 = 0.75 and mean absolute error MAE = 1.56 weeks. Three main novelties can be reported. First, the obtained maturation models based on HRV have comparable performance to other development models. Second, the selected features for age estimation show a predominance of power and fractal features in the very-low- and low-frequency bands in explaining the infants' sympathovagal development from 27 PMA weeks until 40 PMA weeks. Third, bradycardias might disrupt the relationship between common temporal indices of the tachogram and the age of the infant and the interpretation of sympathovagal indices. This approach might provide a novel overview of post-natal autonomic maturation and an alternative development index to other electrophysiological data analysis. |
Databáze: | OpenAIRE |
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