Abstract
Monitoring of a pregnancy course is one of socially important application of biomedical engineering in clinical medicine. In this paper we evaluated a possibility of a nonlinear analysis of an electrohystegraphical signal for assessment of an uterine contractile activity during a pregnancy. This analysis was performed based on a sample entropy statistic. The obtained initial results confirmed that this method could provide clinical useful information for an obstetrical care.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Goldenberg, R.L., Cliver, S.P., Bronstein, J., Cutter, G.R., Andrews, W.W., Mennemeyer, S.T.: Bed rest in pregnancy. Obstet Gynecol 84, 131–136 (1994)
Manner, L.W., MacKay, L.B., Saude, G.B., Garfield, R.K.: Characterization of abdominally acquired uterine electrical signals in humans, using a non-linear analytic method. Med. Biol. Eng. Comput. 44, 117–123 (2006)
Garfield, R.K., Manner, L.W.: Physiology and electrical activity of uterine contractions. Semin in Cell Developmental Biol. 18, 289–295 (2007)
Kanz, H., Schreiber, T.: Nonlinear time series analysis. Wiley, Chichester (2006)
Graczyk, S., Jeżewski, J., Horoba, K., Wróbel, J.: Analysis of abdominal electrical activity of uterus - approximate entropy approach. In: Proc 22nd Annual EMBS International Conference, Chicago (2000)
Ferrario, M., Signorini, M.G., Magenes, G., Cerutti, S.: Comparison of entropy-based regularity estimators: application to the fetal heart rate signal for the identification of fetal distress. IEEE Trans. Biomed. Eng. 53, 119–125 (2006)
Bursztyn, L., Eytan, O., Jaffa, A.J., Elad, D.: Mathematical model of excitation-contraction in a uterine smooth muscle cell. Am. J. Physiol. Cell Physiol. 292(5), C1816–C1829 (2007)
Graczyk, S., Jezewski, J., Wrobel, J., Gacek, A.: Abdominal electrohysterogram data acquisition problems and their source of origin. In: Proc. First Regional Conf. IEEE, pp. PS13–PS14 (1995)
Aboy, M., Cuesta-Frau, D., Austin, D., Mico-Tormos, P.: Characterization of sample entropy in the context of biomedical signal analysis. In: Proc. EMBS An Int. Conf., pp. 5942–5945 (2007)
Sugisaki, K., Ohmori, H.: Online estimation of complexity using variable forgetting factor. In: Proc. SICE Annual Conference, pp. 1–6 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Radomski, D., Grzanka, A., Graczyk, S., Przelaskowski, A. (2008). Assessment of Uterine Contractile Activity during a Pregnancy Based on a Nonlinear Analysis of the Uterine Electromyographic Signal. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-68168-7_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68167-0
Online ISBN: 978-3-540-68168-7
eBook Packages: EngineeringEngineering (R0)