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Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records
The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upp...
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/PMC7766070/ https://www.ncbi.nlm.nih.gov/pubmed/33419319 http://dx.doi.org/10.3390/s20247328 |
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author | Jager, Franc Geršak, Ksenija Vouk, Paula Pirnar, Žiga Trojner-Bregar, Andreja Lučovnik, Miha Borovac, Ana |
author_facet | Jager, Franc Geršak, Ksenija Vouk, Paula Pirnar, Žiga Trojner-Bregar, Andreja Lučovnik, Miha Borovac, Ana |
author_sort | Jager, Franc |
collection | PubMed |
description | The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upper and lower, left and right), the conduction velocities and their directions were estimated using preterm and term EHG records of the publicly available Term–Preterm EHG DataSet with Tocogram (TPEHGT DS) and for different frequency bands below and above 1.0 Hz, where contractions and the influence of the maternal heart rate on the uterus, respectively, are expected. No significant or preferred continuous direction of propagation was found in any of the non-contraction (dummy) or contraction intervals; however, on average, a significantly lower percentage of velocity vectors was found in the vertical direction, and significantly higher in the horizontal direction, for preterm dummy intervals above 1.0 Hz. The newly defined features—the percentages of velocities in the vertical and horizontal directions, in combination with the sample entropy of the EHG signal recorded in the vertical direction, obtained from dummy intervals above 1.0 Hz—showed the highest classification accuracy of 86.8% ([Formula: see text]) in distinguishing between preterm and term EHG records of the TPEHGT DS. |
format | Online Article Text |
id | pubmed-7766070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77660702020-12-28 Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records Jager, Franc Geršak, Ksenija Vouk, Paula Pirnar, Žiga Trojner-Bregar, Andreja Lučovnik, Miha Borovac, Ana Sensors (Basel) Article The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upper and lower, left and right), the conduction velocities and their directions were estimated using preterm and term EHG records of the publicly available Term–Preterm EHG DataSet with Tocogram (TPEHGT DS) and for different frequency bands below and above 1.0 Hz, where contractions and the influence of the maternal heart rate on the uterus, respectively, are expected. No significant or preferred continuous direction of propagation was found in any of the non-contraction (dummy) or contraction intervals; however, on average, a significantly lower percentage of velocity vectors was found in the vertical direction, and significantly higher in the horizontal direction, for preterm dummy intervals above 1.0 Hz. The newly defined features—the percentages of velocities in the vertical and horizontal directions, in combination with the sample entropy of the EHG signal recorded in the vertical direction, obtained from dummy intervals above 1.0 Hz—showed the highest classification accuracy of 86.8% ([Formula: see text]) in distinguishing between preterm and term EHG records of the TPEHGT DS. MDPI 2020-12-20 /pmc/articles/PMC7766070/ /pubmed/33419319 http://dx.doi.org/10.3390/s20247328 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 Jager, Franc Geršak, Ksenija Vouk, Paula Pirnar, Žiga Trojner-Bregar, Andreja Lučovnik, Miha Borovac, Ana Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title | Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title_full | Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title_fullStr | Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title_full_unstemmed | Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title_short | Assessing Velocity and Directionality of Uterine Electrical Activity for Preterm Birth Prediction Using EHG Surface Records |
title_sort | assessing velocity and directionality of uterine electrical activity for preterm birth prediction using ehg surface records |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766070/ https://www.ncbi.nlm.nih.gov/pubmed/33419319 http://dx.doi.org/10.3390/s20247328 |
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