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Quantification of maternal-fetal cardiac couplings in normal and abnormal pregnancies applying high resolution joint symbolic dynamics

  • Received: 01 August 2019 Accepted: 17 October 2019 Published: 04 November 2019
  • Maternal psycho-physiological activities affect the fetal development and its heart rate variability. In this work, the short-term maternal-fetal cardiac couplings in normal and abnormal fetuses were investigated by using the high resolution joint symbolic dynamics method. The analysis was applied on maternal and fetal beat-to-beat intervals of 66 normal and 19 abnormal fetuses that includes different types of congenital heart defects, tachycardia, Atrioventricular block and other types of abnormalities. Results showed that the weak decrease in maternal beat-to-beat variations associated with the strong increase in fetal beat-to-beat variations was found to be significantly higher for the abnormal cases compared to normal cases despite the heterogeneity of abnormality and gestational age (abnormal: 0.032 ±0.013, normal: 0.014 ±0.007, p < 0.01). These differences could be interpreted as impairment in the autonomic nervous system in abnormal cases. The atrioventricular block cases showed a rise in the strong increase and decrease fetal beat-to-beat variations compared to the normal cases while the tachycardia cases showed a decay in these coupling patterns.

    Citation: Ahsan H. Khandoker, Haitham M. Al-Angari, Andreas Voss, Steffen Schulz, Yoshitaka Kimura. Quantification of maternal-fetal cardiac couplings in normal and abnormal pregnancies applying high resolution joint symbolic dynamics[J]. Mathematical Biosciences and Engineering, 2020, 17(1): 802-813. doi: 10.3934/mbe.2020042

    Related Papers:

  • Maternal psycho-physiological activities affect the fetal development and its heart rate variability. In this work, the short-term maternal-fetal cardiac couplings in normal and abnormal fetuses were investigated by using the high resolution joint symbolic dynamics method. The analysis was applied on maternal and fetal beat-to-beat intervals of 66 normal and 19 abnormal fetuses that includes different types of congenital heart defects, tachycardia, Atrioventricular block and other types of abnormalities. Results showed that the weak decrease in maternal beat-to-beat variations associated with the strong increase in fetal beat-to-beat variations was found to be significantly higher for the abnormal cases compared to normal cases despite the heterogeneity of abnormality and gestational age (abnormal: 0.032 ±0.013, normal: 0.014 ±0.007, p < 0.01). These differences could be interpreted as impairment in the autonomic nervous system in abnormal cases. The atrioventricular block cases showed a rise in the strong increase and decrease fetal beat-to-beat variations compared to the normal cases while the tachycardia cases showed a decay in these coupling patterns.


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    [1] A. H. Khandoker, S. Schulz, H. M. Al-Angari, et al, Alterations in maternal-fetal heart rate coupling strength and directions in abnormal fetuses, Front. Physiol., 10 (2019), 482.
    [2] C. Monk, W. P. Fifer, M. M. Myers, et al, Maternal stress responses and anxiety during pregnancy: Effects on fetal heart rate, Dev. Psychobiol., 36 (2000), 67-77.
    [3] D. J. Bekedam, E. J. Mulder, R. J. Snijders, et al, The effects of maternal hyperoxia on fetal breathing movements, body movements and heart rate variation in growth retarded fetuses, Early Hum. Dev., 27 (1991), 223-232.
    [4] P. Van Leeuwen, K. M. Gustafson, D. Cysarz, et al, Aerobic exercise during pregnancy and presence of fetal-maternal heart rate synchronization, PLoS One, 9 (2014), e106036.
    [5] A. H. Khandoker, F. Marzbanrad, A. Voss, et al, Analysis of maternal-fetal heart rate coupling directions with partial directed coherence, Biomed. Signal. Proces., 3 (2016), 25-30.
    [6] M. Riedl, P. Van Leeuwen, A. Suhrbier, et al, Testing foetal-maternal heart rate synchronization via model-based analyses, Phil. Trans. Math. Phys. Eng. Sci., 367 (2009), 1407-1421.
    [7] P. Van Leeuwen, D. Geue, M. Thiel, et al, Influence of paced maternal breathing on fetal-maternal heart rate coordination, Proc. Natl. Acad. Sci. U S A, 106 (2009), 13661-13666.
    [8] P. Ivanov, Q. D. Ma, R. P. Bartsch, Maternal-fetal heartbeat phase synchronization, Proc. Natl. Acad. Sci. U S A, 106 (2009), 13641-13642.
    [9] A. Porta and L. Faes, Assessing causality in brain dynamics and cardiovascular control, Phil. Trans. Math. Phys. Eng. Sci., 371(2013), 20120517.
    [10] S. Schulz and A. Voss, Cardiovascular and cardiorespiratory coupling analysis-State of the art and future perspectives, in Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group, (2014), 25-26.
    [11] S. Schulz, F. C. Adochiei, I. R. Edu, et al, Cardiovascular and cardiorespiratory coupling analyses: A review, Phil. Trans. Math. Phys. Eng. Sci., 371(2013): 20120191.
    [12] M. Baumert, T. Walther, J. Hopfe, et al, Joint symbolic dynamic analysis of beat-to-beat interactions of heart rate and systolic blood pressure in normal pregnancy, Med. Biol. Eng. Comput., 40 (2002), 241-245.
    [13] L. Faes, A. Porta and G. Nollo, Mutual nonlinear prediction as a tool to evaluate coupling strength and directionality in bivariate time series: comparison among different strategies based on k nearest neighbors, Phys. Rev. E, Stat. nonlin. Soft Matter phys., 78 (2008): 026201.
    [14] A. Porta, G. Baselli, F. Lombardi, et al, Conditional entropy approach for the evaluation of the coupling strength, Biol. Cybern., 81 (1999), 119-129.
    [15] M. G. Rosenblum and A. S. Pikovsky, Detecting direction of coupling in interacting oscillators, Phys. Rev. E Stat. nonlin. Soft Matter phys., 64 (2001), 045202.
    [16] T. Milde, K. Schwab, M. Walther, et al, Time-variant partial directed coherence in analysis of the cardiovascular system, A methodological study, Physiol. Meas., 32 (2011), 1787-1805.
    [17] S. Schulz, J. Haueisen, K. J. Bar, et al, High-resolution joint symbolic analysis to enhance classification of the cardiorespiratory system in patients with schizophrenia and their relatives, Phil. Trans. Math. Phys. Eng. Sci., 373 (2015), 2034.
    [18] S. Schulz, N. Tupaika, S. Berger, et al, Cardiovascular coupling analysis with high-resolution joint symbolic dynamics in patients suffering from acute schizophrenia, Physiol. Meas., 34 (2013), 883-901.
    [19] S. Reulecke, S. Schulz and A. Voss, Autonomic regulation during quiet and active sleep states in very preterm neonates, Front. Physiol., 3 (2012), 61.
    [20] A. H. Khandoker, S. Schulz, Y. Kimura, et al, Investigating maternal-fetal heart rate coupling by high resolution joint symbolic dynamics, Comput. Cardiol., 41 (2014), 441-444.
    [21] M. Sato, Y. Kimura, S. Chida, et al, A novel extraction method of fetal electrocardiogram from the composite abdominal signal, IEEE Trans. Biomed. Eng., 54 (2007), 49-58.
    [22] J. Pan and W. J. Tompkins, A Real-Time Qrs Detection Algorithm, IEEE Trans. Biomed. Eng., 32 (1985), 230-236.
    [23] T. Ohta, K. Okamura, Y. Kimura, et al, Alteration in the low-frequency domain in power spectral analysis of fetal heart beat fluctuations, Fetal Diagn. Ther., 14 (1999), 92-97.
    [24] Types of Heart Block, 2012. Available from: www.nhlbi.nih.gov/health/health-topics/topics/hb/types.
    [25] S. H. Lim, V. Anantharaman, W. S. Teo, et al, Comparison of treatment of supraventricular tachycardia by Valsalva maneuver and carotid sinus massage, Ann. Emerg. Med., 31 (1998), 30-35.
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