Evidence map›Paper›PMID 31487875›Full record

ArticleSensors (Basel, Switzerland)2019

A Novel Helmet Fitness Evaluation Device Based on the Flexible Pressure Sensor Matrix.

Jianwei Niu, Cong Zhang, Xiao Chen, Chuang Ma, Liyang Chen, Chao Tong

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. 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

6 authors.

Jianwei NiuSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China. niujw@ustb.edu.cn.ORCID 0000-0002-7944-1276
Cong ZhangSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China. 13001900076@163.com.
Xiao ChenMilitary Institute of Engineering and Technology, Academy of Military Sciences, Beijing 100091, China. chenxiaoami@126.com.
Chuang MaSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China. ustb_machuang@163.com.
Liyang ChenSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China. c@roboler.com.
Chao TongSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China. tc@roboler.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Helmet comfort has always been important for the evaluation of infantry equipment accessories and has for decades not been well addressed. To evaluate the stability and comfort of the helmet, this paper proposes a novel type of helmet comfort measuring device. Conventional pressure measuring devices can measure the pressure of flat surfaces well, but they cannot accurately measure the pressure of curved structures with large curvatures. In this paper, a strain-resistive flexible sensor with a slice structure was used to form a matrix network containing more than a 100 sensors that fit the curved surface of the head well. Raw data were collected by the lower computer, and the original resistance value of the pressure was converted from analog to digital by the A/D conversion circuit that converts an analog signal into a digital signal. Then, the data were output to the data analysis and image display module of the upper computer. The complex curved surface of the head poses a challenge for the appropriate layout design of a head pressure measuring device. This study is expected to allow this intuitive and efficient technology to fit other wearable products, such as goggles, glasses, earphones and neck braces.

Indexed as

curved surfaceflexible sensorhead pressurematrix networksensor layout

Identifiers

PMID31487875
PMCPMC6767239

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.