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Assessing velocity and directionality of uterine electrical activity for preterm birth prediction using EHG surface records
ID Jager, Franc (Author), ID Geršak, Ksenija (Author), ID Vouk, Paula (Author), ID Pirnar, Žiga (Author), ID Trojner-Bregar, Andreja (Author), ID Lučovnik, Miha (Author), ID Borovac, Ana (Author)

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Abstract
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% (AUC = 90.3%) in distinguishing between preterm and term EHG records of the TPEHGT DS.

Language:English
Keywords:propagation of EHG waves, cross correlation, dummy intervals, contraction intervals, conduction velocity, preterm birth prediction, electrohysterogram, short-time cross-correlation, conduction velocity directionality
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
MF - Faculty of Medicine
Publication status:Published
Publication version:Version of Record
Year:2020
Number of pages:30 str.
Numbering:Vol. 20, iss. 24, art. 7328
PID:20.500.12556/RUL-134660 This link opens in a new window
UDC:004:616.831-073.7-71
ISSN on article:1424-8220
DOI:10.3390/s20247328 This link opens in a new window
COBISS.SI-ID:49646595 This link opens in a new window
Publication date in RUL:24.01.2022
Views:1051
Downloads:119
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Record is a part of a journal

Title:Sensors
Shortened title:Sensors
Publisher:MDPI
ISSN:1424-8220
COBISS.SI-ID:10176278 This link opens in a new window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:20.12.2020

Secondary language

Language:Slovenian
Keywords:propagacija EHG valov, križna korelacija, prazni intervali, intervali s popadki, hitrost prevajanja, napovedovanje prezgodnjega poroda

Projects

Funder:ARRS - Slovenian Research Agency
Project number:P3-0124
Name:Metabolni in prirojeni dejavniki reproduktivnega zdravja, porod III

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