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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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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.
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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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