• DocumentCode
    2395254
  • Title

    Electrohysterographic conduction velocity estimation

  • Author

    Mischi, M. ; Rabotti, C. ; Vosters, L. P J ; Oei, S.G. ; Bergmans, J.W.M.

  • Author_Institution
    Fac. of Electr. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    6934
  • Lastpage
    6937
  • Abstract
    Monitoring and analysis of the fetal-heart and the uterine-muscle activity, referred to as electrohysterogram (EHG), is essential to permit timely treatment during pregnancy. While remarkable progress is reported for monitoring of the fetal cardiac activity, the EHG measurement and interpretation remains challenging, and limited knowledge is available on the underlying physiological processes. In particular, little attention has been paid to the analysis of the EHG propagation, whose characteristics might indicate the presence of coordinated uterine contractions leading to intrauterine pressure increase. Therefore, this study focuses for the first time on the noninvasive estimation of the conduction velocity of EHG action potentials by means of multichannel EHG recording and surface high-density electrodes. A maximum likelihood algorithm, initially proposed for skeletal-muscle electromyography, is modified for the required EHG analysis. The use of clustering and weighting is introduced to deal with poor signal similarity between different channels. The presented methods were evaluated by specific simulations, proving the combination of weighting and clustering to be the most accurate method. A preliminary EHG measurement during labor confirmed the feasibility of the method. An extensive clinical validation will however be necessary to optimize the method and assess the relevance of the EHG conduction velocity for pregnancy monitoring.
  • Keywords
    bioelectric potentials; biomedical electrodes; biomedical measurement; cardiology; maximum likelihood estimation; muscle; obstetrics; patient monitoring; patient treatment; action potentials; coordinated uterine contractions; electrohysterogram; electrohysterographic conduction velocity estimation; electrohysterographic propagation; fetal-heart analysis; intrauterine pressure; maximum likelihood algorithm; multichannel EHG recording; noninvasive estimation; patient treatment; pregnancy monitoring; skeletal-muscle electromyography; surface high-density electrodes; uterine-muscle activity; Algorithms; Biomedical Engineering; Electromyography; Female; Humans; Labor, Obstetric; Likelihood Functions; Pregnancy; Signal Processing, Computer-Assisted; Uterine Contraction; Uterine Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333636
  • Filename
    5333636