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Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition
Phase Entropy (PhEn) was recently introduced for evaluating the nonlinear features of physiological time series. PhEn has been demonstrated to be a robust approach in comparison to other entropy-based methods to achieve this goal. In this context, the present study aimed to analyze the nonlinear fea...
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/PMC7517370/ https://www.ncbi.nlm.nih.gov/pubmed/33286569 http://dx.doi.org/10.3390/e22080798 |
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author | Reyes-Lagos, José Javier Pliego-Carrillo, Adriana Cristina Ledesma-Ramírez, Claudia Ivette Peña-Castillo, Miguel Ángel García-González, María Teresa Pacheco-López, Gustavo Echeverría, Juan Carlos |
author_facet | Reyes-Lagos, José Javier Pliego-Carrillo, Adriana Cristina Ledesma-Ramírez, Claudia Ivette Peña-Castillo, Miguel Ángel García-González, María Teresa Pacheco-López, Gustavo Echeverría, Juan Carlos |
author_sort | Reyes-Lagos, José Javier |
collection | PubMed |
description | Phase Entropy (PhEn) was recently introduced for evaluating the nonlinear features of physiological time series. PhEn has been demonstrated to be a robust approach in comparison to other entropy-based methods to achieve this goal. In this context, the present study aimed to analyze the nonlinear features of raw electrohysterogram (EHG) time series collected from women at the third trimester of pregnancy (TT) and later during term active parturition (P) by PhEn. We collected 10-min longitudinal transabdominal recordings of 24 low-risk pregnant women at TT (from 35 to 38 weeks of pregnancy) and P (>39 weeks of pregnancy). We computed the second-order difference plots (SODPs) for the TT and P stages, and we evaluated the PhEn by modifying the k value, a coarse-graining parameter. Our results pointed out that PhEn in TT is characterized by a higher likelihood of manifesting nonlinear dynamics compared to the P condition. However, both conditions maintain percentages of nonlinear series higher than 66%. We conclude that the nonlinear features appear to be retained for both stages of pregnancy despite the uterine and cervical reorganization process that occurs in the transition from the third trimester to parturition. |
format | Online Article Text |
id | pubmed-7517370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75173702020-11-09 Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition Reyes-Lagos, José Javier Pliego-Carrillo, Adriana Cristina Ledesma-Ramírez, Claudia Ivette Peña-Castillo, Miguel Ángel García-González, María Teresa Pacheco-López, Gustavo Echeverría, Juan Carlos Entropy (Basel) Article Phase Entropy (PhEn) was recently introduced for evaluating the nonlinear features of physiological time series. PhEn has been demonstrated to be a robust approach in comparison to other entropy-based methods to achieve this goal. In this context, the present study aimed to analyze the nonlinear features of raw electrohysterogram (EHG) time series collected from women at the third trimester of pregnancy (TT) and later during term active parturition (P) by PhEn. We collected 10-min longitudinal transabdominal recordings of 24 low-risk pregnant women at TT (from 35 to 38 weeks of pregnancy) and P (>39 weeks of pregnancy). We computed the second-order difference plots (SODPs) for the TT and P stages, and we evaluated the PhEn by modifying the k value, a coarse-graining parameter. Our results pointed out that PhEn in TT is characterized by a higher likelihood of manifesting nonlinear dynamics compared to the P condition. However, both conditions maintain percentages of nonlinear series higher than 66%. We conclude that the nonlinear features appear to be retained for both stages of pregnancy despite the uterine and cervical reorganization process that occurs in the transition from the third trimester to parturition. MDPI 2020-07-22 /pmc/articles/PMC7517370/ /pubmed/33286569 http://dx.doi.org/10.3390/e22080798 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 Reyes-Lagos, José Javier Pliego-Carrillo, Adriana Cristina Ledesma-Ramírez, Claudia Ivette Peña-Castillo, Miguel Ángel García-González, María Teresa Pacheco-López, Gustavo Echeverría, Juan Carlos Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title | Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title_full | Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title_fullStr | Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title_full_unstemmed | Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title_short | Phase Entropy Analysis of Electrohysterographic Data at the Third Trimester of Human Pregnancy and Active Parturition |
title_sort | phase entropy analysis of electrohysterographic data at the third trimester of human pregnancy and active parturition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517370/ https://www.ncbi.nlm.nih.gov/pubmed/33286569 http://dx.doi.org/10.3390/e22080798 |
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