Abstract
Among the complex systems of systems of the human body, the uterus is one of the least understood. The sequence of contraction of the myometrium results from numerous interconnected control systems (electric, hormonal, mechanical). In this paper we try to understand what the electrical activity of the uterus can tell us about uterine synchronization. This work is the first attempt to locate uterine EMG sources by means of source localization tools. These tools are tested on signals simulated by a multiscale model of the uterine EMG. As a preliminary result, we present the source localization for one pregnancy and one labor contraction recorded on the same woman. The localized sources do not demonstrate any “propagation like” behavior. This supports the hypothesis that the global organ-level communication is probably not done via action potential propagation, but may be via a coupling between the electrical and the mechanical systems controlling the uterus.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Becker, H., Albera, L., Comon, P., Haardt, M., Birot, G., Wendling, F., Gavaret, M., Bénar, C.G., Merlet, I.: EEG extended source localization: Tensor-based vs. conventional methods. NeuroImage 96, 143–157 (2014)
Dale, A.M., Sereno, M.I.: Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience 5(2), 162–176 (1993)
Devedeux, D., Marque, C., Mansour, S., Germain, G., Duchene, J.: Uterine electromyography: a critical review. American Journal of Obstetrics and Gynecology 169(6), 1636–1653 (1993), PMID: 8267082
Euliano, T.Y., Marossero, D., Nguyen, M.T., Euliano, N.R., Principe, J., Edwards, R.K.: Spatiotemporal electrohysterography patterns in normal and arrested labor. American Journal of Obstetrics and Gynecology 200(1), 54.e1–54.e7 (2009)
Fuchs, M., Wagner, M., Köhler, T., Wischmann, H.A.: Linear and nonlinear current density reconstructions. Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society 16(3), 267–295 (1999), PMID: 10426408
Garfield, R.: Control and assessment of the uterus and cervix during pregnancy and labour. Human Reproduction Update 4(5), 673–695 (1998)
Garfield, R.E., Maul, H., Shi, L., Maner, W., Fittkow, C., Olsen, G., Saade, G.R.: Methods and devices for the management of term and preterm labor. Annals of the New York Academy of Sciences 943(1), 203–224 (2001)
Gramfort, A., Papadopoulo, T., Olivi, E., Clerc, M.: OpenMEEG: opensource software for quasistatic bioelectromagnetics. BioMedical Engineering OnLine 9(1), 45 (2010), PMID: 20819204
Grech, R., Cassar, T., Muscat, J., Camilleri, K.P., Fabri, S.G., Zervakis, M., Xanthopoulos, P., Sakkalis, V., Vanrumste, B.: Review on solving the inverse problem in EEG source analysis. Journal of NeuroEngineering and Rehabilitation 5(1), 25 (2008), PMID: 18990257
Hall, W.S.: The Boundary Element Method. Kluwer (1994)
Hassan, M., Boudaoud, S., Terrien, J., Karlsson, B., Marque, C.: Combination of canonical correlation analysis and empirical mode decomposition applied to denoising the labor electrohysterogram. IEEE Transactions on Biomedical Engineering 58(9), 2441–2447 (2011)
Hassan, M., Terrien, J., Karlsson, B., Marque, C.: Interactions between uterine EMG at different sites investigated using wavelet analysis: Comparison of pregnancy and labor contractions. EURASIP J. Adv. Signal Process., 17:1–17:10 (March 2010)
Hassan, M.M., Terrien, J., Muszynski, C.: A Alexandersson, C. Marque, and B. Karlsson. Better pregnancy monitoring using nonlinear correlation analysis of external uterine electromyography. IEEE Transactions on Biomedical Engineering 60(4), 1160–1166 (2013)
Hauk, O.: Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data. NeuroImage 21(4), 1612–1621 (2004)
Hauk, O., Wakeman, D.G., Henson, R.: Comparison of noise-normalized minimum norm estimates for MEG analysis using multiple resolution metrics. NeuroImage 54(3), 1966–1974 (2011)
Jacob, F.: The logic of life: a history of heredity. Vintage books. Vintage Books (1976)
Koenigsberger, M., Sauser, R., Lamboley, M., Bény, J.-L., Meister, J.-J.: Ca2+ dynamics in a population of smooth muscle cells: modeling the recruitment and synchronization. Biophys. J. 87(1), 92–104 (2004)
Kybic, J., Clerc, M., Abboud, T., Faugeras, O., Keriven, R., Papadopoulo, T.: A common formalism for the integral formulations of the forward EEG problem. IEEE Transactions on Medical Imaging 24(1), 12–28 (2005)
Laforet, J., Marque, C.: uemg: Uterine emg simulator. In: 7th International Workshop on Biosignal Interpretation, BSI 2012, Como, Italy (2012)
Laforet, J., Rabotti, C., Mischi, M., Marque, C.: Improved multi-scale modeling of uterine electrical activity. IRBM 34(1), 38–42 (2013)
Laforet, J., Rabotti, C., Terrien, J., Mischi, M., Marque, C.: Toward a multiscale model of the uterine electrical activity. IEEE Transactions on Biomedical Engineering 58(12), 3487–3490 (2011)
López, J.D., Litvak, V., Espinosa, J.J., Friston, K., Barnes, G.R.: Algorithmic procedures for bayesian MEG/EEG source reconstruction in SPM. NeuroImage 84, 476–487 (2014)
Lucovnik, M., Maner, W.L., Chambliss, L.R., Blumrick, R., Balducci, J., Novak-Antolic, Z., Garfield, R.E.: Noninvasive uterine electromyography for prediction of preterm delivery. Am. J. Obstet. Gynecol. 204(3), 228.e1–228.10 (2011)
Marque, C., Duchene, J.: Human abdominal EHG processing for uterine contraction monitoring. Biotechnology 11, 187–226 (1989)
Marque, C., Laforet, J., Rabotti, C., Alexandersson, A., Germain, G., Gondry, J., Karlsson, B., Leskosek, B., Mischi, M., Muszinski, C., Oei, G., Peuscher, J., Rudel, D.: A multiscale model of the electrohysterogram the BioModUE_PTL project. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 7448–7451 (July 2013)
Mattout, J., Phillips, C., Penny, W.D., Rugg, M.D., Friston, K.J.: MEG source localization under multiple constraints: An extended bayesian framework. NeuroImage 30(3), 753–767 (2006)
Mideksa, K.G., Hellriegel, H., Hoogenboom, N., Krause, H., Schnitzler, A., Deuschl, G., Raethjen, J., Heute, U., Muthuraman, M.: Source analysis of median nerve stimulated somatosensory evoked potentials and fields using simultaneously measured EEG and MEG signals. In: Conference Proceedings:... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 4903–4906 (2012), PMID: 23367027
Miyoshi, H., Boyle, M.B., MacKay, L.B., Garfield, R.E.: Gap junction currents in cultured muscle cells from human myometrium. American Journal of Obstetrics and Gynecology 178(3), 588–593 (1998)
Montes-Restrepo, V., Mierlo, P.V., Strobbe, G., Staelens, S., Vandenberghe, S., Hallez, H.: Influence of skull modeling approaches on EEG source localization. Brain Topography 27(1), 95–111 (2014)
Parthimos, D., Edwards, D.H., Griffith, T.M.: Minimal model of arterial chaos generated by coupled intracellular and membrane ca2+ oscillators. Am. J. Physiol. 277(3 Pt. 2), H1119–H1144 (1999)
Pirondini, E., Babadi, B., Lamus, C., Brown, E.N., Purdon, P.L.: A spatially-regularized dynamic source localization algorithm for EEG. In: Conference Proceedings:... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 6752–6755 (2012), PMID: 23367479
Planes, J.G., Morucci, J.P., Grandjean, H., Favretto, R.: External recording and processing of fast electrical activity of the uterus in human parturition. Medical and Biological Engineering and Computing 22(6), 585–591 (1984)
Rabotti, C., Mischi, M., Beulen, L., Oei, S.G., Bergmans, J.W.M.: Modeling and identification of the electrohysterographic volume conductor by high-density electrodes. IEEE Trans. Biomed. Eng. 57, 519–527 (2010)
Rabotti, C., Mischi, M., Oei, S.G., Bergmans, J.W.M.: Noninvasive estimation of the electrohysterographic Action-Potential conduction velocity. IEEE Transactions on Biomedical Engineering 57(9), 2178–2187 (2010)
Rihana, S., Terrien, J., Germain, G., Marque, C.: Mathematical modeling of electrical activity of uterine muscle cells. Medical & Biological Engineering & Computing 47(6), 665–675 (2009)
Shirvany, Y., Edelvik, F., Persson, M.: Multi-dipole EEG source localization using particle swarm optimization. In: Conference Proceedings:... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp. 6357–6360 (2013), PMID: 24111195
Young, R.C.: Myocytes, myometrium, and uterine contractions. Ann. N. Y. Acad. Sci. 1101, 72–84 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Marque, C., Diab, A., Laforêt, J., Hassan, M., Karlsson, B. (2015). Dynamic Behavior of Uterine Contractions: An Approach Based on Source Localization and Multiscale Modeling. In: Nguyen, VH., Le, AC., Huynh, VN. (eds) Knowledge and Systems Engineering. Advances in Intelligent Systems and Computing, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-319-11680-8_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-11680-8_42
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11679-2
Online ISBN: 978-3-319-11680-8
eBook Packages: EngineeringEngineering (R0)