Evidence map›Paper›PMID 40998977›Full record

ArticleNPJ digital medicine2025

Soft, all-in-one, nanomembrane wearable system for advancing neonatal health monitoring in Ethiopia.

Lauren Zhou, Michele Joseph, Yoon Jae Lee, Diva Yadav, Likhit Nayak, Julia Woodall, Jared Matthews, Ira Soltis, Firehiwot Markos Mekuria, Kullehe Haddis Yeshanew and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2025. 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

15 authors.

Lauren Zhou *George W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Michele Joseph *Center of Biomedical Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, Ethiopia.
Yoon Jae LeeWearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, USA.
Diva YadavGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Likhit NayakGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Julia WoodallGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Jared MatthewsGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Ira SoltisGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Firehiwot Markos MekuriaTikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia.
Kullehe Haddis YeshanewTikur Anbessa Specialized Hospital, Addis Ababa University, Addis Ababa, Ethiopia.
Yonas Kebede MamoCenter for Innovative Drug Development and Therapeutic Trials for Africa College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Abebaw FekaduCenter for Innovative Drug Development and Therapeutic Trials for Africa College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Asrat DemtseCenter for Innovative Drug Development and Therapeutic Trials for Africa College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Rudolph GleasonGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA. rudy.gleason@me.gatech.edu.
Woon-Hong YeoGeorge W. Woodruff School of Mechanical Engineering, College of Engineering, Georgia Institute of Technology, Atlanta, GA, USA. whyeo@gatech.edu.

Funding

Bill and Melinda Gates Foundation INV- 006189
6 · The paper itself

Abstract

The neonatal period is critical and stressful, particularly in low-resource settings where existing monitoring methods for newborns are sporadic and labor-intensive. There is a pressing need for an affordable, user-friendly device that offers continuous and effective monitoring. Here, we present a soft, all-in-one, wearable system designed for continuous wireless monitoring of neonatal health in low-resource settings. Developed using advanced packaging technologies, this system features a chest-mounted patch and a forehead-mounted pulse oximeter that transmit real-time data to a smartphone app. The integrated device measures clinical-grade parameters, including electrocardiograms, heart rate, respiration rate, temperature, and blood oxygen saturation, showing excellent correlation with hospital-grade tabletop devices and reduced motion artifacts. This pilot study demonstrates a significant improvement over current monitoring methods by providing continuous oversight, ensures critical events are not missed, and automates the process for enhanced neonatal care, resulting in 84% satisfaction by parents interested in using the system at home.

Identifiers

PMID40998977
PMCPMC12462490

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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.