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Identification of a Nonlinear Association between Components of the Electrohysterographical Signal

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Języki publikacji
EN
Abstrakty
EN
Electrohysterography is a method for measuring of bioelectrical potentials generated by a contracting uterus. It is used for monitoring of uterine activities mainly during a pregnancy and for prediction of an upcoming pretermlabour. However, there is still unknown the best method of EHG analysis which gives clinically useful information about a uterine activity. To achieve this goal we propose to use information about nonlinear associations between EHG signals registered from an uterine fundus and an uterine cervix. The h² index was applied to identify these relationships. The obtained results reveal that there exists a nonlinear correlation between biopotentials generated from two parts of a pregnant uterus. Moreover, this correlation seems to be higher as a labour is upcoming. It suggests a possibility of using the h² index for prediction of an upcoming labour based on EHG signals.
Twórcy
autor
  • Institute of Radioelectronics, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland, D.Radomski@ire.pw.edu.pl
Bibliografia
  • [1] L. Bursztyn, O. Eytan, A. J. Jaffa, and D. Elad, “Mathematical model of excitation-contraction in a uterine smooth muscle cell,” American Journal of Physiology - Cell Physiology, vol. 292, no. 5, pp. C1816-1829, 2007.
  • [2] P. Carré, H. Leman, C. Fernandez, and C. Marque, “Denoising of the uterine EHG by an undecimated wavelet transform,” IEEE Transaction on Biomedical Engineering, vol. 45, no. 9, pp. 1104-1113, 1998.
  • [3] J. Jezewski, K. Horoba, A. Matonia, A. Gacek, and M. Bernys, “A newapproach to cardiotocographic fetal monitoring based on analysis ofbioelectrical signals,” presented at 25th Annual International Conference of the Engineering in Medicine and Biology Society, 2003.
  • [4] S. N. Kalitzin, J. Parra, D. N. Velis, and F. H. Lopes da Silva,“Quantification of Unidirectional Nonlinear Associations BetweenMultidimensional Signals,” IEEE Transaction on Biomedical Engineering, vol. 54, no. 3, pp. 454-461, 2007.
  • [5] E. C. Karvounis, M. G. Tsipouras, C. Papaloukas, D. G Tsalikakis, K. K. Naka, and D. I. Fotiadis, “A non-invasive methodology for fetal monitoring during pregnancy,” Methods of Information in Medicine, vol. 49, no. 3, pp. 238-253, 2010.
  • [6] C. Rabotti, M. Mischi, J.O van Laar, G. S Oei, and J.W.Bergmans, “Inter-electrode delay estimators for electrohysterographic propagation analysis,” Physiological Measurements, vol. 30, no. 8, pp. 745-761, 2009.
  • [7] D. Radomski, A. Grzanka, S. Graczyk, and A. Przelaskowski, “Assessment of Uterine Contractile Activity During a Pregnancy Based on a Nonlinear Analysis of the Uterine Electromyographic” Information Technology in Biomedicine. Springer, pp. 325-334, 2008.
  • [8] M. D. Skowronski, J. G Harris, D. E. Marossero, R. K Edwards, and T. Y. Euliano, “Prediction of intrauterine pressure from electrohysterography using optimal linear filtering,” IEEE Transaction on Biomedical Engineering, vol. 53, no. 10, pp. 1983-1989, 2006.
  • [9] S. Vairavan, H. Eswaran, N. Haddad, D. F. Rose, H. Preissl, J. D. Wilson, C. L. Lowery, R. B. Govindan, “Detection of discontinuous patterns in spontaneous brain activity of neonates and fetuses,” IEEE Transaction on Biomedical Engineering, vol. 56, no. 11, Pt 2, pp. 2725-2729, 2009.
  • [10] M. P. Vinken, C. Rabotti, M. Mischi, S. G. Oei, “Accuracy of frequency-related parameters of the electrohysterogram for predicting preterm delivery: a review of the literature,” Obstetrical Gynecological Survey, vol. 64, no. 8, pp. 529-541, 2009.
  • [11] J. Zietek, J. Sikora, J. K. Horoba, A. Matonia, J. Jezewski, J. Magnucki, and L. Kobielska, “Prognostic value of chosen parameters of mechanical and bioelectrical uterine activity in prediction of threatening preterm labour,” Ginekolologia Polska, vol. 3, pp. 193-200, Mar. 2009.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWA0-0046-0012
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