Evidence map›Paper›PMID 35270857›Full record

ArticleSensors (Basel, Switzerland)2022

A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling.

Müfit Şan, Arnaldo Batista, Sara Russo, Filipa Esgalhado, Catarina R Palma Dos Reis, Fátima Serrano, Manuel Ortigueira

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Müfit ŞanDepartment of Mathematics, Çankırı Karatekin University, Çankırı 18100, Turkey.
Arnaldo BatistaNOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.ORCID 0000-0002-2287-4265
Sara RussoNOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.
Filipa EsgalhadoNOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.
Catarina R Palma Dos ReisMaternidade Alfredo da Costa, Rua Viriato 1, 1050-170 Lisbon, Portugal.ORCID 0000-0002-8103-8574
Fátima SerranoMaternidade Alfredo da Costa, Rua Viriato 1, 1050-170 Lisbon, Portugal.
Manuel OrtigueiraNOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal.ORCID 0000-0003-4270-3284

Funding

Fundação para a Ciência e Tecnologia UIDB/00066/2020 (FCT)Scientific and Technological Research Council of Turkey TUBITAK-BIDEB/2219-Program granted
6 · The paper itself

Abstract

The uterine electromyogram, also called electrohysterogram (EHG), is the electrical signal generated by uterine contractile activity. The EHG has been considered an expanding technique for pregnancy monitoring and preterm risk evaluation. Data were collected on the abdominal surface. It has been speculated the effect of the placenta location on the characteristics of the EHG. In this work, a preliminary exploration method is proposed using the average spectra of Alvarez waves contractions of subjects with anterior and non-anterior placental position as a basis for the triple-dispersion Cole model that provides a best fit for these two cases. This leads to the uterine impedance estimation for these two study cases. Non-linear least square fitting (NLSF) was applied for this modelling process, which produces electric circuit fractional models' representations. A triple-dispersion Cole-impedance model was used to obtain the uterine impedance curve in a frequency band between 0.1 and 1 Hz. A proposal for the interpretation relating the model parameters and the placental influence on the myometrial contractile action is provided. This is the first report regarding in silico estimation of the uterine impedance for cases involving anterior or non-anterior placental positions.

Indexed as

PlacentaUterine ContractionElectromyographyFemaleHumansInfant, NewbornPregnancyUterusCole-impedance modelfractional calculustransfer function modellinguterine electromyography

Identifiers

PMID35270857
PMCPMC8914849

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.