Evidence map›Paper›PMID 41296871›Full record

ArticleScience advances2025

An intelligent, compact wearable pressure-strain combo sensor system for continuous fetal movement monitoring.

Lim Wei Yap, Arie Levin, Yiwen Jiang, Duong Nhu, Shu Gong, Ritesh Warty, David Vera Anaya, Qinhao Li, Yan Lu, Rui Gao and 15 more

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

25 authors.

Lim Wei YapSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.ORCID 0000-0003-3072-6307
Arie LevinDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0003-4352-1933
Yiwen JiangAIM for Health Lab, Faculty of Information Technology, Monash University, Clayton, Victoria, 3168, Australia.ORCID 0009-0004-1549-9657
Duong NhuAIM for Health Lab, Faculty of Information Technology, Monash University, Clayton, Victoria, 3168, Australia.ORCID 0000-0001-9021-9716
Shu GongDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0001-6904-1706
Ritesh WartyDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Victoria 3168, Australia.
David Vera AnayaDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0002-4301-8484
Qinhao LiSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.ORCID 0000-0002-1246-5070
Yan LuSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.
Rui GaoSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.ORCID 0000-0002-5386-8765
Xin ZhangAIM for Health Lab, Faculty of Information Technology, Monash University, Clayton, Victoria, 3168, Australia.ORCID 0000-0002-0675-6891
Talha IlyasAIM for Health Lab, Faculty of Information Technology, Monash University, Clayton, Victoria, 3168, Australia.ORCID 0000-0002-4168-2998
Vinayak SmithDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Victoria 3168, Australia.
Allison ThomasDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Victoria 3168, Australia.ORCID 0009-0003-2764-0331
Aswandi WibriantoSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.
Yuxin ZhangDepartment of Chemical and Biological Engineering, Faculty of Engineering, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0002-7636-4084
Jane LimasDivision of Perinatal Medicine, Faculty of Medicine and Health, University of Sydney, Kolling Institute, St. Leonards, NSW 2065, Australia.
Sharon A McCrackenDivision of Perinatal Medicine, Faculty of Medicine and Health, University of Sydney, Kolling Institute, St. Leonards, NSW 2065, Australia.ORCID 0000-0002-7700-6123
Jonathan M MorrisDivision of Perinatal Medicine, Faculty of Medicine and Health, University of Sydney, Kolling Institute, St. Leonards, NSW 2065, Australia.
Ben W MolDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Victoria 3168, Australia.
Euan M WallaceDepartment of Obstetrics and Gynaecology, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0002-4506-5233
Arnold Lining JuSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.ORCID 0000-0002-7591-0864
Zongyuan GeAIM for Health Lab, Faculty of Information Technology, Monash University, Clayton, Victoria, 3168, Australia.ORCID 0000-0002-5880-8673
Faezeh MarzbanradDepartment of Electrical and Computer Systems Engineering, Faculty of Engineering, Monash University, Clayton, Victoria 3168, Australia.ORCID 0000-0003-0551-1611
Wenlong ChengSchool of Biomedical Engineering, Faculty of Engineering, University of Sydney, Darlington, New South Wales 2008, Australia.ORCID 0000-0002-2346-4970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous fetal movement monitoring in late pregnancy may improve fetal wellbeing and pregnancy outcomes. While fetal movements can be visualized with ultrasound, it is intermittent and limited to clinical settings. Inertial measurement units may enable at-home fetal monitoring but usually require a large-footprint, multisensor design. Here, we report smart, compact wearable pressure-strain combo sensors continuously monitoring fetal movements through maternal abdominal skin motions. In the 2D and 3D artificial abdomen systems, our octagonal-shaped gold nanowire-based strain sensor served as an isotropic sensor, enabling omnidirectional simulated "kicking load" detection within an area of ~77 (2D) and ~217 cm

Indexed as

Fetal MonitoringFetal MovementWearable Electronic DevicesAdultFemaleHumansMachine LearningPregnancyPressure

Identifiers

PMID41296871
PMCPMC12652324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.