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Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor

The analysis of the uterine electrical activity and its propagation patterns could potentially predict the risk of prolonged/arrested progress of labor. In our study, the Electrohysterography (EHG) signals of 83 participants in labor at around 3-4 cm of cervical dilatation, were recorded for about 3...

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Autores principales: Vasist, Santosh N, Bhat, Parvati, Ulman, Shrutin, Hebbar, Harishchandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975588/
https://www.ncbi.nlm.nih.gov/pubmed/35432660
http://dx.doi.org/10.2478/joeb-2022-0002
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author Vasist, Santosh N
Bhat, Parvati
Ulman, Shrutin
Hebbar, Harishchandra
author_facet Vasist, Santosh N
Bhat, Parvati
Ulman, Shrutin
Hebbar, Harishchandra
author_sort Vasist, Santosh N
collection PubMed
description The analysis of the uterine electrical activity and its propagation patterns could potentially predict the risk of prolonged/arrested progress of labor. In our study, the Electrohysterography (EHG) signals of 83 participants in labor at around 3-4 cm of cervical dilatation, were recorded for about 30 minutes each. These signals were analyzed for predicting prolonged labor. Out of the 83 participants, 70 participants had normal progress of labor and delivered vaginally. The remaining 13 participants had prolonged/ arrested progress of labor and had to deliver through a cesarean section. In this paper, we propose an algorithm to identify contractions from the acquired EHG signals based on the energy of the signals. The role of contraction consistency and fundal dominance was evaluated for impact on progress of the labor. As per our study, the correlation of contractions was higher in case of normal progress of labor. We also observed that the upper uterine segment was dominant in cases with prolonged/arrested progress of labor.
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spelling pubmed-89755882022-04-15 Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor Vasist, Santosh N Bhat, Parvati Ulman, Shrutin Hebbar, Harishchandra J Electr Bioimpedance Articles The analysis of the uterine electrical activity and its propagation patterns could potentially predict the risk of prolonged/arrested progress of labor. In our study, the Electrohysterography (EHG) signals of 83 participants in labor at around 3-4 cm of cervical dilatation, were recorded for about 30 minutes each. These signals were analyzed for predicting prolonged labor. Out of the 83 participants, 70 participants had normal progress of labor and delivered vaginally. The remaining 13 participants had prolonged/ arrested progress of labor and had to deliver through a cesarean section. In this paper, we propose an algorithm to identify contractions from the acquired EHG signals based on the energy of the signals. The role of contraction consistency and fundal dominance was evaluated for impact on progress of the labor. As per our study, the correlation of contractions was higher in case of normal progress of labor. We also observed that the upper uterine segment was dominant in cases with prolonged/arrested progress of labor. Sciendo 2022-03-31 /pmc/articles/PMC8975588/ /pubmed/35432660 http://dx.doi.org/10.2478/joeb-2022-0002 Text en © 2022 Santosh N Vasist, Parvati Bhat, Shrutin Ulman, Harishchandra Hebbar, published by Sciendo https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Vasist, Santosh N
Bhat, Parvati
Ulman, Shrutin
Hebbar, Harishchandra
Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title_full Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title_fullStr Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title_full_unstemmed Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title_short Identification of Contractions from Electrohysterography for Prediction of Prolonged Labor
title_sort identification of contractions from electrohysterography for prediction of prolonged labor
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8975588/
https://www.ncbi.nlm.nih.gov/pubmed/35432660
http://dx.doi.org/10.2478/joeb-2022-0002
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