Evidence map›Paper›PMID 30138376›Full record

ArticlePloS one2018

Estimating uterine source current during contractions using magnetomyography measurements.

Mengxue Zhang, Patricio S La Rosa, Hari Eswaran, Arye Nehorai

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Directional Sensors for Recording Uterine EMG During Pregnancy.Reproductive sciences (Thousand Oaks, Calif.) · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Noninvasive muscle activity imaging using magnetography.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  7. Article
  8. Article
  9. 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

4 authors.

Mengxue ZhangPreston M. Green Department of Electrical and Systems Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America.
Patricio S La RosaGeospatial Analytics, Global IT Analytics, Monsanto Company, Saint Louis, Missouri, United States of America.
Hari EswaranDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Arye NehoraiPreston M. Green Department of Electrical and Systems Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America.ORCID 0000-0002-9055-9865

Funding

Tracking labor with uterine electrophysiological recordings and multi-scale modelR01EB016567 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ESWARAN, HARI, LOWERY, CURTIS L · 2013 to 2014
$704k
NIBIB NIH HHS R01 EB016567
6 · The paper itself

Abstract

Understanding the uterine source of the electrophysiological activity of contractions during pregnancy is of scientific interest and potential clinical applications. In this work, we propose a method to estimate uterine source currents from magnetomyography (MMG) temporal course measurements on the abdominal surface. In particular, we develop a linear forward model, based on the quasistatic Maxwell's equations and a realistic four-compartment volume conductor, relating the magnetic fields to the source currents on the uterine surface through a lead-field matrix. To compute the lead-field matrix, we use a finite element method that considers the anisotropic property of the myometrium. We estimate the source currents by minimizing a constrained least-squares problem to solve the non-uniqueness issue of the inverse problem. Because we lack the ground truth of the source current, we propose to predict the intrauterine pressure from our estimated source currents by using an absolute-value-based method and compare the result with real abdominal deflection recorded during contractile activity. We test the feasibility of the lead-field matrix by displaying the lead fields that are generated by putative source currents at different locations in the myometrium: cervix and fundus, left and right, front and back. We then illustrate our method by using three synthetic MMG data sets, which are generated using our previously developed multiscale model of uterine contractions, and three real MMG data sets, one of which has simultaneous real abdominal deflection measurements. The numerical results demonstrate the ability of our method to capture the local contractile activity of human uterus during pregnancy. Moreover, the predicted intrauterine pressure is in fair agreement with the real abdominal deflection with respect to the timing of uterine contractions.

Indexed as

AlgorithmsComputer SimulationFeasibility StudiesFemaleFinite Element AnalysisHumansMagnetometryModels, BiologicalPressureSignal Processing, Computer-AssistedUterine ContractionUterus

Identifiers

PMID30138376
PMCPMC6121809

What OpenQuestion holds

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Registered trials

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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.