Evidence map›Paper›PMID 39860784›Full record

ArticleSensors (Basel, Switzerland)2025

Development of 3D-Formed Textile-Based Electrodes with Flexible Interconnect Ribbon.

Paula Veske-Lepp, Glenn Van Steenkiste, Svea Thienpondt, Joris Cools, Herbert De Pauw, Frederick Bossuyt

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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.

Paula Veske-LeppCentre for Microsystems Technology (CMST), IMEC and Ghent University, 9050 Zwijnaarde-Gent, Belgium.ORCID 0000-0002-3793-9877
Glenn Van SteenkisteEquine CardioTeam, Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium.ORCID 0000-0002-0165-5215
Svea ThienpondtFashion and Textiles Innovation Lab (FTILab+), HOGENT University of Applied Sciences and Arts, 9051 Ghent, Belgium.
Joris CoolsFashion and Textiles Innovation Lab (FTILab+), HOGENT University of Applied Sciences and Arts, 9051 Ghent, Belgium.
Herbert De PauwCentre for Microsystems Technology (CMST), IMEC and Ghent University, 9050 Zwijnaarde-Gent, Belgium.ORCID 0000-0002-4767-8762
Frederick BossuytCentre for Microsystems Technology (CMST), IMEC and Ghent University, 9050 Zwijnaarde-Gent, Belgium.ORCID 0000-0003-3350-9295

Funding

Industrial Research Fund of Ghent University F2021/IOF-ConnecTT/117
6 · The paper itself

Abstract

The integration of electronics into textiles has gained considerable attention in recent years, due to the development and high demand of wearable and flexible electronics. One of the promising fields is healthcare, which often involves the utilization of textile-based electrodes. These electrodes often offer advantages such as conformability, breathability, and comfort. This article presents the development of 3D-formed textile-based electrodes together with a narrow fabric-based interconnect system. This study showcases the methods and materials for the fabrication of the textile-based electrodes and the interconnect system, including a durability assessment, by performing standardized washing (ISO 6330-2012) and user tests. The results demonstrated that the developed 3D-formed textile-based electrodes and stretchable interconnect system are durable and effective for wearable applications, maintaining performance under extensive washing.

Indexed as

conductive textileselectrodeselectronicse-textilesIoTsmart textiles

Identifiers

PMID39860784
PMCPMC11769503

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.