Evidence map›Paper›PMID 26505624›Full record

ArticlePloS one2015

Characterizing the Propagation of Uterine Electrophysiological Signals Recorded with a Multi-Sensor Abdominal Array in Term Pregnancies.

Diana Escalona-Vargas, Rathinaswamy B Govindan, Adrian Furdea, Pam Murphy, Curtis L Lowery, Hari Eswaran

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. An update on pacemaking in the myometrium.The Journal of physiology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Connectivity Measures of Uterine Activity using Magnetomyography.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018
    Article
  6. Toward noninvasive monitoring of ongoing electrical activity of human uterus and fetal heart and brain.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2017
    Article
  7. Article
  8. 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

6 authors.

Diana Escalona-VargasDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Rathinaswamy B GovindanDivision of Fetal and Transitional Medicine, Children's National Medical Center, Washington, DC, United States of America.
Adrian FurdeaInstitute for Medical Psychology and Behavioral Neurobiology, University of Tuebingen, Tuebingen, Germany.
Pam MurphyDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Curtis L LoweryDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
Hari EswaranDepartment of Obstetrics and Gynecology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.

Funding

Development of Spatial-Temporal Analysis Tools for Uterine Biomagnetic SignalsR01EB007264 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ESWARAN, HARI · 2007 to 2009
$860k
NIBIB NIH HHS R01 EB007264NIBIB NIH HHS R01EB7264
6 · The paper itself

Abstract

The objective of this study was to quantify the number of segments that have contractile activity and determine the propagation speed from uterine electrophysiological signals recorded over the abdomen. The uterine magnetomyographic (MMG) signals were recorded with a 151 channel SARA (SQUID Array for Reproductive Assessment) system from 36 pregnant women between 37 and 40 weeks of gestational age. The MMG signals were scored and segments were classified based on presence of uterine contractile burst activity. The sensor space was then split into four quadrants and in each quadrant signal strength at each sample was calculated using center-of-gravity (COG). To this end, the cross-correlation analysis of the COG was performed to calculate the delay between pairwise combinations of quadrants. The relationship in propagation across the quadrants was quantified and propagation speeds were calculated from the delays. MMG recordings were successfully processed from 25 subjects and the average values of propagation speeds ranged from 1.3-9.5 cm/s, which was within the physiological range. The propagation was observed between both vertical and horizontal quadrants confirming multidirectional propagation. After the multiple pairwise test (99% CI), significant differences in speeds can be observed between certain vertical or horizontal combinations and the crossed pair combinations. The number of segments containing contractile activity in any given quadrant pair with a detectable delay was significantly higher in the lower abdominal pairwise combination as compared to all others. The quadrant-based approach using MMG signals provided us with high spatial-temporal information of the uterine contractile activity and will help us in the future to optimize abdominal electromyographic (EMG) recordings that are practical in a clinical setting.

Indexed as

Pregnancy Trimester, ThirdAbdomenAdultElectromyographyFemaleGestational AgeHumansObstetric Labor, PrematurePregnancyRadiography, AbdominalUterine ContractionUterus

Identifiers

PMID26505624
PMCPMC4624716

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.