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Lucchini M, Pini N, Fifer WP, et al. Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel). 2017;19(5)doi: 10.3390/e19050225.
Lucchini, M., Pini, N., Fifer, W. P., Burtchen, N., & Signorini, M. G. (2017). Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel, Switzerland), 19(5), . https://doi.org/10.3390/e19050225
Lucchini, Maristella, et al. "Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep." Entropy (Basel, Switzerland) vol. 19,5 (2017). doi: https://doi.org/10.3390/e19050225
Lucchini M, Pini N, Fifer WP, Burtchen N, Signorini MG. Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep. Entropy (Basel). 2017 May;19(5). doi: 10.3390/e19050225. Epub 2017 May 15. PMID: 28966550; PMCID: PMC5617350.
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Entropy (Basel). 2017 May;19(5). doi: 10.3390/e19050225. Epub 2017 May 15.

Entropy Information of Cardiorespiratory Dynamics in Neonates during Sleep.

Entropy (Basel, Switzerland)

Maristella Lucchini, Nicolò Pini, William P Fifer, Nina Burtchen, Maria G Signorini

Affiliations

  1. Department of Psychiatry, Columbia University College of Physicians & Surgeons, New York, NY 10032, USA.
  2. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.
  3. Department of Psychosomatic Medicine and Psychotherapy, University of Freiburg, 79106 Freiburg, Germany.

PMID: 28966550 PMCID: PMC5617350 DOI: 10.3390/e19050225

Abstract

Sleep is a central activity in human adults and characterizes most of the newborn infant life. During sleep, autonomic control acts to modulate heart rate variability (HRV) and respiration. Mechanisms underlying cardiorespiratory interactions in different sleep states have been studied but are not yet fully understood. Signal processing approaches have focused on cardiorespiratory analysis to elucidate this co-regulation. This manuscript proposes to analyze heart rate (HR), respiratory variability and their interrelationship in newborn infants to characterize cardiorespiratory interactions in different sleep states (active vs. quiet). We are searching for indices that could detect regulation alteration or malfunction, potentially leading to infant distress. We have analyzed inter-beat (RR) interval series and respiration in a population of 151 newborns, and followed up with 33 at 1 month of age. RR interval series were obtained by recognizing peaks of the QRS complex in the electrocardiogram (ECG), corresponding to the ventricles depolarization. Univariate time domain, frequency domain and entropy measures were applied. In addition, Transfer Entropy was considered as a bivariate approach able to quantify the bidirectional information flow from one signal (respiration) to another (RR series). Results confirm the validity of the proposed approach. Overall, HRV is higher in active sleep, while high frequency (HF) power characterizes more quiet sleep. Entropy analysis provides higher indices for SampEn and Quadratic Sample entropy (QSE) in quiet sleep. Transfer Entropy values were higher in quiet sleep and point to a major influence of respiration on the RR series. At 1 month of age, time domain parameters show an increase in HR and a decrease in variability. No entropy differences were found across ages. The parameters employed in this study help to quantify the potential for infants to adapt their cardiorespiratory responses as they mature. Thus, they could be useful as early markers of risk for infant cardiorespiratory vulnerabilities.

Keywords: autonomic nervous system; heart rate variability; newborn; sleep state; transfer entropy

Conflict of interest statement

Conflicts of Interest The authors declare no conflict of interest.

References

  1. Conf Proc IEEE Eng Med Biol Soc. 2016 Aug;2016:5509-5512 - PubMed
  2. Proc Natl Acad Sci U S A. 1991 Mar 15;88(6):2297-301 - PubMed
  3. Nature. 2005 Oct 27;437(7063):1257-63 - PubMed
  4. Pediatr Res. 1984 Jan;18(1):58-62 - PubMed
  5. PLoS One. 2014 Oct 14;9(10):e109462 - PubMed
  6. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:1463-6 - PubMed
  7. Am J Physiol. 1998 Apr;274(4 Pt 2):H1099-105 - PubMed
  8. J Appl Physiol (1985). 2007 Oct;103(4):1143-9 - PubMed
  9. Early Hum Dev. 2007 Apr;83(4):269-77 - PubMed
  10. Am J Physiol Heart Circ Physiol. 2000 Jun;278(6):H2039-49 - PubMed
  11. Auton Neurosci. 2007 Oct 30;136(1-2):43-51 - PubMed
  12. Braz J Med Biol Res. 2002 Aug;35(8):991-1000 - PubMed
  13. Pediatr Res. 1988 Dec;24(6):677-82 - PubMed
  14. Physiol Meas. 2016 Sep;37(9):1436-46 - PubMed
  15. Acta Paediatr. 2017 Aug;106(8):1260-1272 - PubMed
  16. IEEE Trans Biomed Eng. 2006 Jan;53(1):21-7 - PubMed
  17. Respir Physiol Neurobiol. 2013 Nov 1;189(2):288-300 - PubMed
  18. Conf Proc IEEE Eng Med Biol Soc. 2005;4:4212-5 - PubMed
  19. Pediatr Res. 1976 Nov;10(11):945-8 - PubMed
  20. Auton Neurosci. 2007 Jul 31;134(1-2):74-80 - PubMed
  21. Auton Neurosci. 2010 Apr 19;154(1-2):84-8 - PubMed
  22. Cardiovasc Res. 1996 Mar;31(3):447-54 - PubMed
  23. Circulation. 1991 Aug;84(2):482-92 - PubMed
  24. Circulation. 1996 Mar 1;93(5):1043-65 - PubMed
  25. IEEE Trans Biomed Eng. 1985 Mar;32(3):230-6 - PubMed
  26. Pediatr Res. 2000 Sep;48(3):360-8 - PubMed
  27. Front Physiol. 2013 Oct 16;4:294 - PubMed
  28. Phys Rev Lett. 2000 Jul 10;85(2):461-4 - PubMed
  29. Am J Physiol. 1993 Mar;264(3 Pt 2):R638-46 - PubMed

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