Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records

Pirnar, Žiga (author), Jager, Franc (author), Geršak, Ksenija (author)

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
• UDC: 004:618.39
• ISSN on article: 0010-4825
• DOI: 10.1016/j.compbiomed.2022.106238
• COBISS.SI-ID: 128179459
• Publication date in RUL: 19.12.2022

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

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