Evidence map›Paper›PMID 34693140›Full record

ArticleACS omega2021

Large-Scale, Cuttable, Full Tissue-Based Capacitive Pressure Sensor for the Detection of Human Physiological Signals and Pressure Distribution.

Xin He, Xiang He, Houlong He, Shunli Liang, Zhihao Liu, Jionghong Liang, Yue Xin, Weijia Yang, Yan Chen, Chi Zhang

Abstract read
In one paragraph

Article in ACS omega, 2021. 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. 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

10 authors.

Xin HeSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.ORCID https://orcid.org/0000-0002-1018-3512
Xiang HeSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Houlong HeSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Shunli LiangSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Zhihao LiuSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Jionghong LiangSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Yue XinSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Weijia YangSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Yan ChenSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.
Chi ZhangSchool of Applied Physics and Materials, Wuyi University, Jiangmen 529020, P. R. China.ORCID https://orcid.org/0000-0002-4976-0276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for flexible and wearable electronics has promoted the rapid development of the pressure sensors capable of monitoring diverse human movements and physiological signals. However, more and more research requires the pressure sensor to possess high sensing performance and desires the fabrication to exhibit the characteristics of low cost, large-scale production, high reproduction, even disposability. Here, we propose a full tissue-based capacitive pressure sensor with a sandwiched structure consisting of two MXene-coated tissue electrodes and a blank tissue dielectric layer. The tight contact and adequate adsorption of the MXene sheets with the cellulose fibers endow the electrode with uniform conductivity and high stability over a large area. In addition, the flexible sensor could be conveniently cut into any shape and size to meet the diverse application requirements. Thereby, the pressure sensor exhibits a sensitivity of 0.051 kPa

Identifiers

PMID34693140
PMCPMC8529690

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.