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Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records
ID Pirnar, Žiga (Author), ID Jager, Franc (Author), ID Geršak, Ksenija (Author)

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Abstract
To improve the understanding of the underlying physiological processes that lead to preterm birth, and different term delivery modes, we quantitatively characterized and assessed the separability of the sets of early (23rd week) and later (31st week) recorded, preterm and term spontaneous, induced, cesarean, and induced-cesarean electrohysterogram (EHG) records using several of the most widely used non-linear features extracted from the EHG signals. Linearly modeled temporal trends of the means of the median frequencies (MFs), and of the means of the peak amplitudes (PAs) of the normalized power spectra of the EHG signals, along pregnancy (from early to later recorded records), derived from a variety of frequency bands, revealed that for the preterm group of records, in comparison to all other term delivery groups, the frequency spectrum of the frequency band B0L (0.08–0.3 Hz) shifts toward higher frequencies, and that the spectrum of the newly identified frequency band B0L’ (0.125–0.575 Hz), which approximately matches the Fast Wave Low band, becomes stronger. The most promising features to separate between the later preterm group and all other later term delivery groups appear to be MF (p = 1.1 ⋅ 10$^{-5}$) in the band B0L of the horizontal signal S3, and PA (p = 2.4 ⋅ 10$^{-8}$) in the band B0L’ (S3). Moreover, the PA in the band B0L’ (S3) showed the highest power to individually separate between the later preterm group and any other later term delivery group. Furthermore, the results suggest that in preterm pregnancies the resting maternal heart rate decreases between the 23rd and 31st week of gestation.

Language:English
Keywords:electrohysterogram, characterization of EHG records, separation of EHG records, preterm birth prediction, term birth, induced birth, cesarean section, FWL band, FWH band
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:2022
Number of pages:19 str.
Numbering:Vol. 151, pt. A, art. 106238
PID:20.500.12556/RUL-143396 This link opens in a new window
UDC:004:618.39
ISSN on article:0010-4825
DOI:10.1016/j.compbiomed.2022.106238 This link opens in a new window
COBISS.SI-ID:128179459 This link opens in a new window
Publication date in RUL:19.12.2022
Views:420
Downloads:90
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Record is a part of a journal

Title:Computers in biology and medicine
Shortened title:Comput. biol. med.
Publisher:Elsevier
ISSN:0010-4825
COBISS.SI-ID:189801 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:elektrohisterogram, karakterizacija EHG posnetkov, separacija EHG posnetkov, napovedovanje prezgodnjega poroda, terminski porod, induciran porod, carski rez, FWL področje, FWH področje

Projects

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

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