Evidence map›Paper›PMID 39686030›Full record

ArticleSensors (Basel, Switzerland)2024

Development of Textile-Based Strain Sensors for Compression Measurements in Sportswear (Sports Bra).

Aqsa Imran, Shahood Uz Zaman, Mozzan Razzaq, Ayesha Ahmad, Xuyuan Tao

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
–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

0 citing papers in PubMed.

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

5 authors.

Aqsa ImranDepartment of Textile Engineering, National Textile University, Faisalabad 37610, Pakistan.ORCID 0000-0001-5835-9882
Shahood Uz ZamanDepartment of Textile Engineering, National Textile University, Faisalabad 37610, Pakistan.ORCID 0000-0002-0949-7039
Mozzan RazzaqDepartment of Textile Engineering, National Textile University, Faisalabad 37610, Pakistan.
Ayesha AhmadDepartment of Textile Engineering, National Textile University, Faisalabad 37610, Pakistan.
Xuyuan TaoÉcole Nationale Supérieure des Arts et Industries Textiles-ENSAIT, ULR 2461-GEMTEX-Génie et Matériaux Textiles, University of Lille, F-59000 Lille, France.ORCID 0000-0001-5359-5632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Women sports wearer's comfort and health are greatly impacted by the breast movements and resultant sports bra compression to prevent excessive movement. However, as sports bras are only made in universal sizes, they do not offer the right kind of support that is required for a certain activity. To prevent this issue, textile-based strain sensors may be utilized to track compression throughout various activities to create activity-specific designed sports bras. Textile-based strain sensors are prepared in this study using various conductive yarns, including steel, Ag-coated polyamide, and polypropylene/steel-blended threads. Various embroidery designs, including straight, zigzag, and square-wave embroidery patterns, etc., were created on knitted fabric and characterized for strain sensing efficiencies. The experiments concluded that strain sensors prepared from polypropylene/steel thread using a 2-thread square-wave design were best performed in terms of linear conductivity, sensitivity of mechanical impact, and wide working range. This best-performed sample was also tested by integrating it into the sportswear for proposed compression measurements in different body movements.

Indexed as

TextilesFemaleHumansPolypropylenesSportsWearable Electronic DevicesPolypropylenesactive wearcompression gauging sensorsconductive threadssmart wearablesportswearstrain sensor

Identifiers

PMID39686030
PMCPMC11644236

What OpenQuestion holds

Textmetadata
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.