Assessment of tobacco smoke effects on neonatal cardiorespiratory control using a semi-automated processing approach

Sally Al-Omar 1, 2 Virginie Le Rolle 1 Alain Beuchée 1 Nathalie Samson 2 Jean-Paul Praud 2 Guy Carrault 1
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Université de Sherbrooke [Sherbrooke]
Abstract : A semi-automated processing approach was developed to assess the effects of early postnatal environmental tobacco smoke (ETS) on the cardiorespiratory control of newborn lambs. The system consists of several steps beginning with artifact rejection, followed by the selection of stationary segments, and ending with feature extraction. This approach was used in six lambs exposed to 20 cigarettes/day for the first 15 days of life, while another six control lambs were exposed to room air. On postnatal day 16, electrocardiograph and respiratory signals were obtained from a 6-h polysomnographic recording. The effects of postnatal ETS exposure on heart rate variability, respiratory rate variability, and cardiorespiratory interrelations were explored. The unique results suggest that early postnatal ETS exposure increases respiratory rate variability and decreases the coupling between cardiac and respiratory systems. Potentially harmful consequences in early life include unstable breathing and decreased adaptability of cardiorespiratory function, particularly during early life challenges, such as prematurity or viral infection. Graphical abstract ᅟ.
Keywords : Cardiorespiratory interrelations Artifact rejection and stationarity Respiratory rate variability Postnatal environmental tobacco smoke exposure Heart rate variability
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Journal articles
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01807376
Contributor : Laurent Jonchère <>
Submitted on : Monday, June 4, 2018 - 4:28:00 PM
Last modification on : Tuesday, September 17, 2019 - 11:02:02 AM

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UNIV-RENNES1 | LTSI | UNIV-RENNES

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Sally Al-Omar, Virginie Le Rolle, Alain Beuchée, Nathalie Samson, Jean-Paul Praud, et al.. Assessment of tobacco smoke effects on neonatal cardiorespiratory control using a semi-automated processing approach. Medical and Biological Engineering and Computing, Springer Verlag, 2018, 56 (11), pp.2025-2037. ⟨10.1007/s11517-018-1827-y⟩. ⟨hal-01807376⟩

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