Evidence map›Paper›PMID 41427166›Full record

ArticleACS omega2025

Wearable Flexible Triboelectric Sensor Array for a Self-Powered Infant Care System.

Minzhu Zheng, Lingyi Chen, Lijun Ruan, Yong Wang, Jinjin Shi

Abstract read
In one paragraph

Article in ACS omega, 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

5 authors.

Minzhu ZhengDepartment of Delivery Center, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou 310008, China.
Lingyi ChenDepartment of Delivery Center, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou 310008, China.
Lijun RuanDepartment of Delivery Center, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou 310008, China.
Yong WangDepartment of Mechanical Engineering, School of Engineering, Hangzhou City University, Hangzhou 310015, China.ORCID https://orcid.org/0000-0001-6363-3452
Jinjin ShiDepartment of Delivery Center, Hangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou 310008, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infant falls during critical developmental stages present severe injury risks due to immature motor control and undetectable trauma hazards. Existing monitoring solutions face limitations in detection accuracy, real-time response, and wearability, necessitating reliable monitoring solutions. This study introduces a wearable triboelectric sensor array (WTSA) for infant collision detection. The device integrates a flexible 3 × 3 array of polydimethylsiloxane (PDMS) hemispherical protrusions mounted on an Ecoflex substrate with copper electrodes. Structural deformation during impact generates triboelectric signals through contact electrification and electrostatic induction. The WTSA demonstrated high sensitivity, with voltage output scaling from -2 V at 0.5 g to -17 V at 3 g and exceptional stability during extended operation exceeding 48 h. It serves dual functions as an accelerometer and self-powered sensor, achieving approximately 42.5 nW peak power output and successfully charging capacitors to 2.8 V. Crucially, impact location identification exceeded 93.6% accuracy using a convolutional neural network (CNN) trained on voltage waveforms from all nine sensor units. Its flexible design ensures comfortable, nondisruptive wear during infant activities. By enabling real-time, precise assessment of collision dynamics and injury risk through machine learning, the WTSA provides a robust, self-powered solution for enhancing infant safety during critical developmental stages.

Identifiers

PMID41427166
PMCPMC12713484

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.