Evidence map›Paper›PMID 42590444›Full record

ReviewSensors (Basel, Switzerland)2026

Electrohysterography for Uterine Contractility Monitoring: Measurement Principles, Clinical Evidence, and Reporting Recommendations.

Gulnur Bayramli, Koushita Gouri Reddy Valluru, Ravi Goyal

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Gulnur BayramliDepartment of Obstetrics and Gynecology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA.ORCID 0009-0006-0175-2900
Koushita Gouri Reddy ValluruDepartment of Obstetrics and Gynecology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA.ORCID 0009-0002-4005-7178
Ravi GoyalDepartment of Obstetrics and Gynecology, College of Medicine, University of Arizona, Tucson, AZ 85724, USA.ORCID 0000-0003-2940-0051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable monitoring of uterine contractility underpins the assessment of labor, the diagnosis of preterm labor, and the timing of obstetric intervention, yet routine methods measure only the mechanical consequences of contraction. External tocodynamometry and cardiotocography (CTG) are operator- and position-dependent and perform poorly with maternal obesity, detecting as few as ~54% of the contractions confirmed by an intrauterine pressure catheter, whereas surface electrohysterography (EHG) detects upward of ~94% by recording the myometrial electrical activity that drives contraction. This review examines EHG and uterine electromyography (EMG) as measurement modalities, covering their physiological origin, acquisition hardware, signal characteristics, feature extraction, and machine-learning analysis, and compares them with CTG against the intrauterine pressure catheter reference standard. Electrical approaches additionally yield predictive parameters, notably spectral peak frequency and propagation velocity, that mechanical methods cannot provide. The principal barrier to translation is methodological heterogeneity rather than physiology: differences in electrodes, filtering, feature definitions, and outcome measures preclude cross-study comparison and meta-analysis. As its central contribution, this review consolidates prior calls for standardization into a minimum reporting set for EHG studies and appraises translational readiness, identifying prospective external validation, shared datasets, explainable models, and outcome-linked trials as priorities.

Indexed as

ElectromyographyUterine ContractionUterine MonitoringFemaleHumansMonitoring, PhysiologicPregnancybiomedical signal processingcardiotocographyelectrohysterographypreterm birthreporting standarduterine contraction monitoringuterine electromyographywearable sensors

Identifiers

PMID42590444
PMCPMC13469932

What OpenQuestion holds

Textmetadata
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.