• DocumentCode
    3077227
  • Title

    On the propagation analysis of electrohysterographic signals

  • Author

    Rabotti, Chiara ; Mischi, Massimo ; van Laar, Judith ; Oei, Guid ; Bergmans, Jan

  • Author_Institution
    Department of Electrical Engineering, Eindhoven University of Technology, the Netherlands
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    3868
  • Lastpage
    3871
  • Abstract
    Premature birth is a leading cause of fetal mortality and long-term morbidity. The effective treatment of preterm uterine contractions requires new methods for predicting delivery. The electrohysterographic (EHG) signal is a measure of the bioelectrical process underlying the uterine contraction. The analysis of parameters derived from the EHG signal can therefore provide fundamental information for the prognosis of labor. In this paper, we focus on the propagation of the EHG signal recorded during delivery by multiple electrodes. For the inter-electrode delay assessment and propagation analysis, two different methods are implemented. One is based on the prior estimation of the uterine mechanical activity by EHG signal processing. The delay is then calculated by the cross-correlation function between the mechanical activity estimated at each sensor. The other method is a high temporal resolution adaptive delay estimator that operates directly on EHG signals. The previously demonstrated accuracy of the mechanical estimates and the agreement between the delays provided by the methods confirm the tight relationship between the mechanical and electrical activity of the uterus. However, our results suggest that a higher temporal resolution delay estimator is preferred.
  • Keywords
    Adaptive signal processing; Bioelectric phenomena; Biomedical signal processing; Delay estimation; Electrodes; Information analysis; Propagation delay; Signal analysis; Signal processing; Signal resolution; Algorithms; Electromyography; Female; Fetal Death; Humans; Models, Statistical; Monitoring, Physiologic; Myometrium; Obstetric Labor, Premature; Pregnancy; Signal Processing, Computer-Assisted; Time Factors; Uterine Contraction; Uterine Monitoring; Uterus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650054
  • Filename
    4650054