Evidence map›Paper›PMID 29734344›Full record

ArticlePloS one2018

Performance of a wearable acoustic system for fetal movement discrimination.

Jonathan Lai, Richard Woodward, Yuriy Alexandrov, Qurratul Ain Munnee, Christoph C Lees, Ravi Vaidyanathan, Niamh C Nowlan

Open access · goldAbstract 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 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 7% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Computation of Fetal Kicking in Various Fetal Health Examinations: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Emerging Wearable Ultrasound Technology.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Fetal Movement Counting Using Optical Fibre Sensors.Sensors (Basel, Switzerland) · 2020
    Article
  12. 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 at 2 institutions in 2 countries.

Jonathan LaiImperial College London, Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom.
Richard WoodwardDepartment of Mechanical Engineering, Imperial College London, London, United Kingdom.
Yuriy AlexandrovDepartment of Mechanical Engineering, Imperial College London, London, United Kingdom.
Qurratul Ain MunneeDepartment of Mechanical Engineering, Imperial College London, London, United Kingdom.
Christoph C LeesImperial College London, Centre for Fetal Care, Queen Charlotte's and Chelsea Hospital, Imperial College Healthcare National Health Service Trust, London, United Kingdom.
Ravi VaidyanathanDepartment of Mechanical Engineering, Imperial College London, London, United Kingdom.
Niamh C NowlanDepartment of Bioengineering, Imperial College London, London, United Kingdom.ORCID 0000-0002-9083-6279
Imperial College London · GBNational Health Service · GB

Funding

Medical Research Council MC_PC_13064
6 · The paper itself

Abstract

Fetal movements (FM) are a key factor in clinical management of high-risk pregnancies such as fetal growth restriction. While maternal perception of reduced FM can trigger self-referral to obstetric services, maternal sensation is highly subjective. Objective, reliable monitoring of fetal movement patterns outside clinical environs is not currently possible. A wearable and non-transmitting system capable of sensing fetal movements over extended periods of time would be extremely valuable, not only for monitoring individual fetal health, but also for establishing normal levels of movement in the population at large. Wearable monitors based on accelerometers have previously been proposed as a means of tracking FM, but such systems have difficulty separating maternal and fetal activity and have not matured to the level of clinical use. We introduce a new wearable system based on a novel combination of accelerometers and bespoke acoustic sensors as well as an advanced signal processing architecture to identify and discriminate between types of fetal movements. We validate the system with concurrent ultrasound tests on a cohort of 44 pregnant women and demonstrate that the garment is capable of both detecting and discriminating the vigorous, whole-body 'startle' movements of a fetus. These results demonstrate the promise of multimodal sensing for the development of a low-cost, non-transmitting wearable monitor for fetal movements.

Indexed as

Fetal MovementWearable Electronic DevicesAcousticsFemaleFetal MonitoringHumansPregnancy

Identifiers

PMID29734344
PMCPMC5937742
OpenAlexW2799871704

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.