Evidence map›Paper›PMID 35957456›Full record

ArticleSensors (Basel, Switzerland)2022

Evaluations of 3D-Printed Surgical Mask Tension Release Bands for Common COVID-19 Use with Biomechanics, Sensor Array System, and Finite Element Analysis.

Kuo-Chih Su, Chun-Hsiang Wang, Yu-Chun Yen

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Kuo-Chih SuDepartment of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan.ORCID 0000-0002-3632-0458
Chun-Hsiang WangDepartment of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan.
Yu-Chun YenDepartment of Medical Research, Taichung Veterans General Hospital, Taichung 407, Taiwan.
Taichung Veterans General Hospital · TWTunghai University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A mask is one of the most basic protections to prevent the transmission of COVID-19. Surgical mask tension release bands (SMTRBs) are commonly used to ease the pain caused by prolonged mask use. However, the structural strength of SMTRBs and the effect that wearing masks with SMTRBs has on the face are unclear. Thus, this study assessed the mechanics of seven different types of 3D-printed SMTRBs. In this study, a tensile testing machine, a sensor array system, and finite element analysis were used to evaluate the mechanisms of seven SMTRBs. The tensile testing machine was applied to measure the breaking strength, elongation, stiffness, and rupture of the band. The sensor array system was used to calculate the pressure on the face when the band was used together with the mask. Finite element analysis was applied to evaluate the level of stress on the SMTRB structure when each of the seven bands was subjected to external force. The results demonstrated that thick SMTRBs put more pressure on the face but had greater structural strength. The thinner bands did not break easily; however, the mask ear loops tended to slip off more often. In addition, the size of the band hook affected the magnitude of the external force. This study provides a biomechanical reference for the future design of SMTRBs.

Indexed as

COVID-19MasksBiomechanical PhenomenaFinite Element AnalysisHumansPrinting, Three-Dimensional3D printingbiomechanicsfinite element analysismasksensor array systemsurgical mask tension release band

Identifiers

PMID35957456
PMCPMC9371430
OpenAlexW4290755413

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.