Evidence map›Paper›PMID 34396138›Full record

ArticleResearch (Washington, D.C.)2021

Stretchable, Rehealable, Recyclable, and Reconfigurable Integrated Strain Sensor for Joint Motion and Respiration Monitoring.

Chuanqian Shi, Zhanan Zou, Zepeng Lei, Pengcheng Zhu, Guohua Nie, Wei Zhang, Jianliang Xiao

Abstract read
In one paragraph

Article in Research (Washington, D.C.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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.

Chuanqian ShiDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA.ORCID https://orcid.org/0000-0003-3096-5180
Zhanan ZouDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA.
Zepeng LeiDepartment of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA.
Pengcheng ZhuDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA.ORCID https://orcid.org/0000-0003-1145-2355
Guohua NieSchool of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China.ORCID https://orcid.org/0000-0003-1546-3967
Wei ZhangDepartment of Chemistry, University of Colorado Boulder, Boulder, Colorado 80309, USA.ORCID https://orcid.org/0000-0002-5491-1155
Jianliang XiaoDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, USA.ORCID https://orcid.org/0000-0001-5378-0096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutting-edge technologies of stretchable, skin-mountable, and wearable electronics have attracted tremendous attention recently due to their very wide applications and promising performances. One direction of particular interest is to investigate novel properties in stretchable electronics by exploring multifunctional materials. Here, we report an integrated strain sensing system that is highly stretchable, rehealable, fully recyclable, and reconfigurable. This system consists of dynamic covalent thermoset polyimine as the moldable substrate and encapsulation, eutectic liquid metal alloy as the strain sensing unit and interconnects, and off-the-shelf chip components for measuring and magnifying functions. The device can be attached on different parts of the human body for accurately monitoring joint motion and respiration. Such a strain sensing system provides a reliable, economical, and ecofriendly solution to wearable technologies, with wide applications in health care, prosthetics, robotics, and biomedical devices.

Identifiers

PMID34396138
PMCPMC8347367

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Registered trials

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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.