Evidence map›Paper›PMID 33499134›Full record

ArticleMicromachines2021

A Soft Wearable and Fully-Textile Piezoresistive Sensor for Plantar Pressure Capturing.

Yongsong Tan, Kamen Ivanov, Zhanyong Mei, Hui Li, Huihui Li, Ludwig Lubich, Chaoxia Wang, Lei Wang

Abstract read
In one paragraph

Article in Micromachines, 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

8 authors.

Yongsong TanShenzhen Key Laboratory for Low-cost Healthcare, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.
Kamen IvanovShenzhen Key Laboratory for Low-cost Healthcare, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.ORCID 0000-0002-1038-4277
Zhanyong MeiCollege of Cyber Security, Chengdu University of Technology, Chengdu 610059, China.
Hui LiShenzhen Key Laboratory for Low-cost Healthcare, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.
Huihui LiShenzhen Key Laboratory for Low-cost Healthcare, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.
Ludwig LubichFaculty of Telecommunications, Technical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0003-2010-4766
Chaoxia WangKey Laboratory of Eco-Textile, Ministry of Education, College of Textile Science and Engineering, Jiangnan University, 1800 Lihu Road, Wuxi 214122, China.
Lei WangShenzhen Key Laboratory for Low-cost Healthcare, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Avenue, Shenzhen University Town, Shenzhen 518055, China.ORCID 0000-0002-7033-9806

Funding

Fundamental Research Funds for the Central Universities JUSRP51724BNational First-Class Discipline Program ofLight Industry Technology and Engineering LITE2018-21National Key Research and Development Program of China 2018YFC2000903National Natural Science Foundation of China 21975107Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutiShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions NYKFKT2020002the Science and Technology Department of Sichuan province and the young and middle-aged backbone teachers' program of Chengdu University of Technology 2017GZ0304
6 · The paper itself

Abstract

The trends of wearable health monitoring systems have led to growing demands for gait-capturing devices. However, comfortability and durability under repeated stress are still challenging to achieve in existing sensor-enabled footwear. Herein, a flexible textile piezoresistive sensor (TPRS) consisting of a reduced graphene oxide (rGO)-cotton) fabric electrode and an Ag fabric circuit electrode is proposed. Based on the mechanical and electrical properties of the two fabric electrodes, the TPRS exhibits superior sensing performance, with a high sensitivity of 3.96 kPa-1 in the lower pressure range of 0-36 kPa, wide force range (0-100 kPa), fast response time (170 ms), remarkable durability stability (1000 cycles) and detection ability in different pressures ranges. For the prac-tical application of capturing plantar pressure, six TPRSs were mounted on a flexible printed circuit board and integrated into an insole. The dynamic plantar pressure distribution during walking was derived in the form of pressure maps. The proposed fully-textile piezoresistive sensor is a strong candidate for next-generation plantar pressure wearable monitoring devices.

Indexed as

Ag fabric circuit electrodedynamic plantar pressureinsolerGO-cotton fabric electrodetextile piezoresistive sensor (TPRS)

Identifiers

PMID33499134
PMCPMC7926843

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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.