Comparison of electrohysterogram characteristics during uterine contraction and non-contraction during labor

Zhihui Liu, Dongmei Hao, Lei Zhang, Juntao Liu, Xiya Zhou, Lin Yang, Yimin Yang, Xuwen Li , Song Zhang, Dingchang Zheng

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    9 Citations (Scopus)
    8 Downloads (Pure)

    Abstract

    Uterine contraction is one of the most important indication in the labor progression. Electrohysterogram (EHG) is a promising method for monitoring uterine contraction and discriminating efficient and inefficient contractions. This study aims to analyze the difference of EHG signals between two groups. EHG signals are recorded with abdominal electrodes from 20 pregnant women, including 10 in term labor group and 10 in non-labor group. Typical linear and nonlinear characteristics of EHG signals, including root mean square (RMS), peak frequency (PF), median frequency (MDF), mean frequency (MNF), parameters from wavelet decomposition (W4, W5) and time reversibility (Tr) are extracted. These characteristics are compared between contraction and non-contraction in term labor group and non-labor group. The result shows that RMS, W4 and W5 of contraction are significantly larger than non-contraction both within term labor group and between two groups (all p<;0.001). However, MDF and MNF are significantly smaller (all p<;0.05). Furthermore, all characteristics of non-contraction show no significant difference between two groups, except MNF. The variability of RMS, W4, W5 and Tr of contraction are significantly larger than non-contraction both within term labor group and between two groups (all p<;0.05, with p<;0.001 for W5 and Tr). However, the variability of MDF, PF and MNF are significantly smaller (all p<;0.05). Moreover, the variability of all characteristics of non-contraction shows no significant difference between two groups, except MNF. We have shown that characteristics of EHG signals and their variability during contraction are quite different from non-contraction. Therefore, it is feasible to separate uterine contractions and monitor uterine activity with EHG signals.
    Original languageEnglish
    Title of host publicationEMBC '17 Jeju, Korea : 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : Smarter Technology for a Healthier World
    Subtitle of host publicationJuly 11-15, 2017, International Convention Center (ICC), Jeju Island, Korea
    PublisherIEEE
    Pages2924 - 2927
    Number of pages4
    ISBN (Electronic)978-1-5090-2809-2
    DOIs
    Publication statusPublished - 14 Sep 2017
    Event39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Seogwipo, Korea, Republic of
    Duration: 11 Jul 201715 Jul 2017
    Conference number: 39

    Publication series

    Name
    ISSN (Print)1557-170X
    ISSN (Electronic)1558-4615

    Conference

    Conference39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Abbreviated titleEMBC
    Country/TerritoryKorea, Republic of
    CitySeogwipo
    Period11/07/1715/07/17

    Keywords

    • Pregnancy
    • Time-frequency analysis
    • Monitoring
    • Biomedical monitoring
    • Feature extraction
    • Hospitals
    • Electrodes

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