Abstract
Heart rate variability (HRV) enables non-invasive evaluation of cardiac autonomic activity. Preterm infants are known to have altered HRV characteristics that remain even when reaching their term age. Little is known about non-linear HRV measures between full term and preterm babies close to their theoretical full term. In this study, we calculated sample entropy, shape-describing parameters (skewness and kurtosis) and detrended fluctuation analysis coefficients α1 and α2 from RR time series of 16 very preterm babies (<32 weeks gestational age, “PT group”) measured at their theoretical term age. The values were compared to the values of nine full-term (>37 weeks, “FT group”) infants. Compared to the FT group, smaller values of sample entropy and lower values of α1 were found in the PT group. No difference in α2, kurtosis, or skewness was found. This indicates decrease in overall complexity of HR dynamics in the PT group. When various HRV indices, that included also non-linear indices, were projected to the principal component analysis space obtained from the FT group, a good separation between the PT and FT groups was found. The study was limited by a small sample but the results were in line with literature. The combinations of several HRV parameters can be of interest for future studies on the degree of ANS maturity.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
1. Patural H, Pichot V, Jaziri F, et al. (2008) Autonomic cardiac control of very preterm newborns: A prolonged dysfunction, Early Hum Dev. 84(10): 681-687
2. Selig FA, Tonolli ER, Silva EV, et al. (2011) Heart rate variability in preterm and term neonates. Arq Bras Cardiol. 96(6):443-9.
3. Eiselt M, Curzi-Dascalova L, Clairambault J, et al. (1993) Heart-rate variability in low-risk prematurely born infants reaching normal term: a comparison with full-term newborns. Early Hum Dev.32(2-3):183-95.
4. Patural H1, Barthelemy JC, Pichot V, et al. (2004) Birth prematurity determines prolonged autonomic nervous system immaturity. Clin Auton Res. 14(6):391-5.
5. Richman, JS, Moorman, JR. (2000). Physiological time-series analysis using approximate entropy and sample entropy. Am. J. Physiol. Heart Circ. Physiol. 278, H2039–H2049.
6. Francis DP, Willson K, Georgiadou P, et al. (2002) Physiological basis of fractal complexity properties of heart rate variability in man. J Physiol:, 542(2): 619‑629.
7. Borgnat P, Flandrin P, Honeine P, et al. (2010). Testing Stationarity With Surrogates: A Time-Frequency Approach. IEEE Trans. Signal Process. 58,
8. Patural H, Flori S, Pichot V, et al. (2014) Autonomic Nervous System: A Biomarker of Neurodevelopmental Comportment- the AuBE Study, J Clin Trials, 4:17.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Helander, E. et al. (2018). Comparison of linear and non-linear heart rate variability indices between preterm infants at their theoretical term age and full term newborns. In: Eskola, H., Väisänen, O., Viik, J., Hyttinen, J. (eds) EMBEC & NBC 2017. EMBEC NBC 2017 2017. IFMBE Proceedings, vol 65. Springer, Singapore. https://doi.org/10.1007/978-981-10-5122-7_39
Download citation
DOI: https://doi.org/10.1007/978-981-10-5122-7_39
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-5121-0
Online ISBN: 978-981-10-5122-7
eBook Packages: EngineeringEngineering (R0)