Skip to main content

Electrical Activity of Uterus as Reliable Information on Contractions During Pregnancy and Labour

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

Abstract

In this paper an evaluation of analysis of uterine electrical signals as an alternative method to tocography for contractile activity monitoring is presented. A set of dedicated indices was defined to estimate the inconsistency of the number, location and other descriptive parameters of the corresponding contractions detected in simultaneously recorded mechanical and electrical activity signals. Research material comprised 57 recordings from three groups of pregnant women being: in the first uncomplicated pregnancy, with symptoms of the threatening preterm labour, and during the first period of the physiological labour. The highest consistency as for the number and location of contractions was noted for recordings acquired during labour. Obtained results show synchronization between the mechanical and electrical activity, which varies in different stages of pregnancy and labour, and which is stronger when the birth term approaches.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Alamedine, D., Khalil, M., Marque, C.: Comparison of different ehg feature selection methods for the detection of preterm labor. Comput. Math. Methods Med. 9 (2013). http://dx.doi.org/10.1155/2013/485684

  2. Alberola-Rubioa, J., Prats-Boludaa, G., Ye-Lina, Y., Valerob, J., Peralesb, A., Garcia-Casadoa, J.: Comparison of non-invasive electrohysterographic recording techniques for monitoring uterine dynamics. Med. Eng. Phys. 35, 1736–1743 (2013)

    Article  Google Scholar 

  3. Bajlekov, G., Rabotti, C., Oei, S., Mischi, M.: Electrohysterographic detection of uterine contractions in term pregnancy. In: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 5851–5854 (2015)

    Google Scholar 

  4. Czabanski, R., Jezewski, J., Horoba, K., Jezewski, M.: Fetal state assessment using fuzzy analysis of the fetal heart rate signals—agreement with the neonatal outcome. Biocybern. Biomed. Eng. 33(3), 145–155 (2013)

    Article  Google Scholar 

  5. Czabanski, R., Wrobel, J., Jezewski, J., Leski, J., Jezewski, M.: Efficient evaluation of fetal wellbeing during pregnancy using methods based on statistical learning principles. J. Med. Imaging Health Inform. 5(6), 1327–1336 (2015)

    Article  Google Scholar 

  6. De Lau, H.D., Rabotti, C., Bijloo, R., Rooijakkers, M.J., Mischi, M., Oei, G.S.: Automated conduction velocity analysis in the electrohysterogram for prediction of imminent delivery: a preliminary study. Comput. Math. Method Med. 7 (2013)

    Google Scholar 

  7. Euliano, T.Y., Nguyen, M., Darmanjian, T.S., Mcgorray, S.P., Euliano, N., Onkala, A., Gregg, A.R.: Monitoring uterine activity during labor: a comparison of 3 methods. Am. J. Obstet. Gynecol. 208(66), e1–66.e6 (2013)

    Google Scholar 

  8. Garfield, R.E., Lucovnik, M., Kuon, R.J.: Diagnosis and effective management of preterm labor. MGM J. Med. Sci. 1, 22–27 (2014)

    Google Scholar 

  9. Horoba, K., Jezewski, J., Wrobel, J., Matonia, M., Czabanski, R., Jezewski, M.: Analysis of uterine contractile wave propagation in electrohysterogram for assessing the risk of preterm birth. J. Med. Imaging Health Inform. 5(6), 1287–1294 (2015)

    Article  Google Scholar 

  10. Jezewski, J., Horoba, K., Matonia, A., Wrobel, J.: Quantitative analysis of contraction patterns in electrical activity signal of pregnant uterus as an alternative to mechanical approach. Physiol. Meas. 26, 753–767 (2005)

    Article  Google Scholar 

  11. Jezewski, J., Roj, D., Wrobel, J., Horoba, K.: A novel technique for fetal heart rate estimation from doppler ultrasound signal. Biomed. Eng. Online 10, 243–268 (2011). doi:10.1186/1475-925X-10-92/

    Google Scholar 

  12. Jezewski, J., Matonia, A., Czabanski, R., Horoba, K., Kupka, T.: Classification of uterine electrical activity patterns for early detection of preterm birth. In: Burduk, R., et al. (ed.) Computer Recognition Systems 8—CORES 2013, Advances in Intelligent Systems and Computing AISC. vol. 226, pp 559–568. Springer, Heidelberg (2013)

    Google Scholar 

  13. Kotas, M., Jezewski, J., Matonia, A., Kupka, T.: Towards noise immune detection of fetal qrs complexes. Comput. Methods Programs Biomed. 97(3), 241–256 (2010)

    Article  Google Scholar 

  14. Kotas, M., Jezewski, J., Horoba, K., Matonia, A.: Application of spatio-temporal filtering to fetal electrocardiogram enhancement. Comput. Methods Programs Biomed. 104(1), 1–9 (2011)

    Article  Google Scholar 

  15. Kupka, T., Jezewski, J., Matonia, A., Horoba, K., Wrobel, J.: Timing events in doppler ultrasound signal of fetal heart activity. In: Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 337–340. San Francisco (2004)

    Google Scholar 

  16. La Rosa, P.S., Nehorai, A., Eswaran, H., Lowery, C.L., Preissl, H.: Detection of uterine emg contractions using a multiple change point estimator and the k-means cluster algorithm. IEEE Trans. Biomed. Eng. 55, 453–467 (2008)

    Article  Google Scholar 

  17. Lucovnik, M., Manner, 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, 228e1–10 (2011)

    Google Scholar 

  18. Moslem, B., Khalil, M., Marque, C., Diab, M.O.: Complexity analysis of the uterine electromyography. In: 32nd Annual International Conference of the IEEE EMBS, pp. 2802–2805. Buenos Aires, Argentina (2010)

    Google Scholar 

  19. Rabotti, C., Mischi, M., Laar, J.V., Oei, S.G., Bergmans, J.: Inter-electrode delay estimators for electrohysterographic propagation analysis. Physiol. Meas. 30, 745–761 (2009)

    Article  Google Scholar 

  20. Rabotti, C., Mischi, M., Oei, S.G., Bergmans, J.: Noninvasive estimation of the electrohysterographic action-potential conduction velocity. IEEE Trans. Biomed Eng. 57, 2178–2187 (2010)

    Article  Google Scholar 

  21. Radomski, D., Malkiewicz, A.: Identification of a nonlinear association between components of the electrohysterographical signal. Int. J. Electron. Telecom. 56, 287–290 (2010)

    Google Scholar 

  22. Radomski, D., Grzanka, A., Graczyk, S., Przelaskowski, A.: Assessment of uterine contractile activity during a pregnancy based on a nonlinear analysis of the uterine electromyographic signal. In: Pietka, E., Kawa, K. (eds.) Advances in Soft Computing Information Technology in Biomedicine, pp. 325–334. Springer (2008)

    Google Scholar 

  23. Rooijakkers, M.J., Rabotti, C., Oei, S.G., Aarts, R., Mischi, M.: Low-complexity intrauterine pressure estimation using the teager energy operator on electrohysterographic recordings. Physiol. Meas. 35, 1215–1228 (2014)

    Article  Google Scholar 

  24. Skowronski, M.D., Harris, J.G., Marossero, D.E., Edwards, R.K., Euliano, T.Y.: Prediction of intrauterine pressure from electrohysterography using optimal linear filtering. IEEE Trans. Biomed. Eng. 53(10), 1983–1989 (2006)

    Article  Google Scholar 

  25. Vrhovec, J., Macek-Lebar, A.: An uterine electromyographic activity as a measure of labor progression. In: Steele, C. (ed.) Applications of EMG in Clinical and Sports Medicine, pp. 243–268. InTech (2012)

    Google Scholar 

  26. Wrobel, J., Horoba, K., Pander, P., Jezewski, J., Czabanski, R.: Improving the fetal heart rate signal interpretation by application of myriad filtering. Biocybern. Biomed. Eng. 33, 211–221 (2013)

    Article  Google Scholar 

  27. Wrobel, J., Jezewski, J., Horoba, K., Pawlak, A., Czabanski, R., Jezewski, M., Porwik, P.: Medical cyber-physical system for home telecare of high-risk pregnancy—design challenges and requirements. J. Med. Imaging Health Inform. 5(6), 1295–1301 (2015)

    Article  Google Scholar 

  28. Wrobel, J., Matonia, A., Horoba, K., Jezewski, J., Czabanski, R., Pawlak, A., Porwik, P.: Pregnancy telemonitoring with smart control of algorithms for signal analysis. J. Med. Imaging Health Inform. 5(6), 1302–1310 (2015)

    Article  Google Scholar 

  29. Ye-Lin, Y., Alberola-Rubio, J., Prats-Boluda, G., Perales, A., Desantes, D., Garcia-Casado, J.: Feasibility and analysis of bipolar concentric recording of electrohysterogram with flexible active electrode. Ann. Biomed. Eng. 43(4), 968–976 (2015)

    Article  Google Scholar 

Download references

Acknowledgments

This scientific research work is supported by The National Centre for Research and Development of Poland.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Krzysztof Horoba .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Horoba, K., Jezewski, J., Kupka, T., Matonia, A., Czabanski, R., Roj, D. (2016). Electrical Activity of Uterus as Reliable Information on Contractions During Pregnancy and Labour. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-39796-2_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics