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Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios
Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks. The extraction of high-quality robust features is a key factor in achieving satisfactory prediction systems from EH...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517284/ https://www.ncbi.nlm.nih.gov/pubmed/33286515 http://dx.doi.org/10.3390/e22070743 |
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author | Mas-Cabo, Javier Ye-Lin, Yiyao Garcia-Casado, Javier Díaz-Martinez, Alba Perales-Marin, Alfredo Monfort-Ortiz, Rogelio Roca-Prats, Alba López-Corral, Ángel Prats-Boluda, Gema |
author_facet | Mas-Cabo, Javier Ye-Lin, Yiyao Garcia-Casado, Javier Díaz-Martinez, Alba Perales-Marin, Alfredo Monfort-Ortiz, Rogelio Roca-Prats, Alba López-Corral, Ángel Prats-Boluda, Gema |
author_sort | Mas-Cabo, Javier |
collection | PubMed |
description | Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks. The extraction of high-quality robust features is a key factor in achieving satisfactory prediction systems from EHG. Temporal, spectral, and non-linear EHG parameters have been computed to characterize EHG signals, sometimes obtaining controversial results, especially for non-linear parameters. The goal of this work was to assess the performance of EHG parameters in identifying those robust enough for uterine electrophysiological characterization. EHG signals were picked up in different obstetric scenarios: antepartum, including women who delivered on term, labor, and post-partum. The results revealed that the 10th and 90th percentiles, for parameters with falling and rising trends as labor approaches, respectively, differentiate between these obstetric scenarios better than median analysis window values. Root-mean-square amplitude, spectral decile 3, and spectral moment ratio showed consistent tendencies for the different obstetric scenarios as well as non-linear parameters: Lempel–Ziv, sample entropy, spectral entropy, and SD1/SD2 when computed in the fast wave high bandwidth. These findings would make it possible to extract high quality and robust EHG features to improve computer-aided assessment tools for pregnancy, labor, and postpartum progress and identify maternal fetal risks. |
format | Online Article Text |
id | pubmed-7517284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75172842020-11-09 Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios Mas-Cabo, Javier Ye-Lin, Yiyao Garcia-Casado, Javier Díaz-Martinez, Alba Perales-Marin, Alfredo Monfort-Ortiz, Rogelio Roca-Prats, Alba López-Corral, Ángel Prats-Boluda, Gema Entropy (Basel) Article Electrohysterography (EHG) has been shown to provide relevant information on uterine activity and could be used for predicting preterm labor and identifying other maternal fetal risks. The extraction of high-quality robust features is a key factor in achieving satisfactory prediction systems from EHG. Temporal, spectral, and non-linear EHG parameters have been computed to characterize EHG signals, sometimes obtaining controversial results, especially for non-linear parameters. The goal of this work was to assess the performance of EHG parameters in identifying those robust enough for uterine electrophysiological characterization. EHG signals were picked up in different obstetric scenarios: antepartum, including women who delivered on term, labor, and post-partum. The results revealed that the 10th and 90th percentiles, for parameters with falling and rising trends as labor approaches, respectively, differentiate between these obstetric scenarios better than median analysis window values. Root-mean-square amplitude, spectral decile 3, and spectral moment ratio showed consistent tendencies for the different obstetric scenarios as well as non-linear parameters: Lempel–Ziv, sample entropy, spectral entropy, and SD1/SD2 when computed in the fast wave high bandwidth. These findings would make it possible to extract high quality and robust EHG features to improve computer-aided assessment tools for pregnancy, labor, and postpartum progress and identify maternal fetal risks. MDPI 2020-07-05 /pmc/articles/PMC7517284/ /pubmed/33286515 http://dx.doi.org/10.3390/e22070743 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mas-Cabo, Javier Ye-Lin, Yiyao Garcia-Casado, Javier Díaz-Martinez, Alba Perales-Marin, Alfredo Monfort-Ortiz, Rogelio Roca-Prats, Alba López-Corral, Ángel Prats-Boluda, Gema Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title | Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title_full | Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title_fullStr | Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title_full_unstemmed | Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title_short | Robust Characterization of the Uterine Myoelectrical Activity in Different Obstetric Scenarios |
title_sort | robust characterization of the uterine myoelectrical activity in different obstetric scenarios |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517284/ https://www.ncbi.nlm.nih.gov/pubmed/33286515 http://dx.doi.org/10.3390/e22070743 |
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