Evidence map›Paper›PMID 37630960›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Stretchable Sensors: Novel Human Motion Monitoring Wearables.

Chia-Jung Cho, Ping-Yu Chung, Ying-Wen Tsai, Yu-Tong Yang, Shih-Yu Lin, Pin-Shu Huang

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Chia-Jung ChoInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.ORCID 0000-0002-6879-1780
Ping-Yu ChungInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.
Ying-Wen TsaiInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.
Yu-Tong YangInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.
Shih-Yu LinInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.
Pin-Shu HuangInstitute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A human body monitoring system remains a significant focus, and to address the challenges in wearable sensors, a nanotechnology-enhanced strategy is proposed for designing stretchable metal-organic polymer nanocomposites. The nanocomposite comprises reduced graphene oxide (rGO) and in-situ generated silver nanoparticles (AgNPs) within elastic electrospun polystyrene-butadiene-polystyrene (SBS) fibers. The resulting Sandwich Structure Piezoresistive Woven Nanofabric (SSPWN) is a tactile-sensitive wearable sensor with remarkable performance. It exhibits a rapid response time (less than three milliseconds) and high reproducible stability over 5500 cycles. The nanocomposite also demonstrates exceptional thermal stability due to effective connections between rGO and AgNPs, making it suitable for wearable electronic applications. Furthermore, the SSPWN is successfully applied to human motion monitoring, including various areas of the hand and RGB sensing shoes for foot motion monitoring. This nanotechnology-enhanced strategy shows promising potential for intelligent healthcare, health monitoring, gait detection, and analysis, offering exciting prospects for future wearable electronic products.

Indexed as

human body monitoring systemnanocompositesnanotechnology-enhanced strategyreduced graphene oxide (rGO)stretchable metal-organic polymerwearable sensors

Identifiers

PMID37630960
PMCPMC10459719

What OpenQuestion holds

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LicenceCC BY
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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.