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 language | English |
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Title of host publication | EMBC '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 publication | July 11-15, 2017, International Convention Center (ICC), Jeju Island, Korea |
Publisher | IEEE |
Pages | 2924 - 2927 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5090-2809-2 |
DOIs | |
Publication status | Published - 14 Sept 2017 |
Event | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Seogwipo, Korea, Republic of Duration: 11 Jul 2017 → 15 Jul 2017 Conference number: 39 |
Publication series
Name | |
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ISSN (Print) | 1557-170X |
ISSN (Electronic) | 1558-4615 |
Conference
Conference | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Abbreviated title | EMBC |
Country/Territory | Korea, Republic of |
City | Seogwipo |
Period | 11/07/17 → 15/07/17 |
Keywords
- Pregnancy
- Time-frequency analysis
- Monitoring
- Biomedical monitoring
- Feature extraction
- Hospitals
- Electrodes