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Download fileComparison of electrohysterogram characteristics during uterine contraction and non-contraction during labor
conference contribution
posted on 2023-08-30, 14:53 authored by Zhihui Liu, Dongmei Hao, Lei Zhang, Juntao Liu, Xiya Zhou, Lin Yang, Yimin Yang, Xuwen Li, Song Zhang, Dingchang ZhengUterine 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.
History
Page range
2924-2927ISSN
1558-4615External DOI
Publisher
IEEEPlace of publication
OnlineISBN
978-1-5090-2809-2Conference proceeding
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Name of event
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)Location
Jeju, South KoreaEvent start date
2017-07-11Event finish date
2017-07-15File version
- Accepted version
Language
- eng