Evidence map›Paper›PMID 42797113›Full record

ArticlePolymers2026

Flexible Textile-Based Hybrid Piezoresistive Sensors for Human-Motion Monitoring.

Hatice Aylin Karahan Toprakci, Mukaddes Sevval Cetin, Ozan Toprakci

Abstract read
In one paragraph

Article in Polymers, 2026. 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

3 authors.

Hatice Aylin Karahan ToprakciDepartment of Polymer Materials Engineering, Yalova University, Yalova 77200, Turkey.ORCID 0000-0001-7078-9690
Mukaddes Sevval CetinInstitute of Graduate Studies, Yalova University, Yalova 77200, Turkey.ORCID 0000-0002-2677-3963
Ozan ToprakciDepartment of Polymer Materials Engineering, Yalova University, Yalova 77200, Turkey.ORCID 0000-0001-7944-4269

Funding

TUBİTAK 2210-C National Graduate Scholarship Program in High Priority Technological AreasYalova University Project No: 2020/YL/0013
6 · The paper itself

Abstract

Textile-based sensors offer a promising platform for human-motion monitoring because of their flexibility, comfort, and ease of integration into clothing. The objective of this study was to develop a textile-based hybrid piezoresistive sensor by combining carbon black (CB) and carbon nanofibers (CNFs) with different filler geometries within a flexible poly[styrene-b-(ethylene-co-butylene)-b-styrene] (SEBS) matrix. The novelty of the proposed approach lies in incorporating CB and CNFs into the same elastomeric sensing layer directly deposited onto an elastic knitted textile substrate and systematically comparing its sensing behavior with the corresponding single-filler CB/SEBS and CNF/SEBS systems. Three sensing coatings, CB/SEBS, CNF/SEBS, and hybrid CB+CNF/SEBS, were deposited onto textile substrates by blade coating. All formulations exhibited uniform coating and good adhesion to the fabric. Coating uniformity and adhesion were assessed through visual inspection, electron microscopy, and mechanical cycling by monitoring peeling, cracking, and delamination. Dynamic piezoresistive tests demonstrated that all sensors were capable of strain monitoring, while the 2 wt% CB+ 2 wt% CNF hybrid formulation exhibited the highest sensitivity among the investigated systems. The resistance response was dependent on both the magnitude and rate of strain deformation. The hybrid sensor was further successfully applied to monitor knee, wrist, and elbow movements during physical exercise. These findings demonstrate that the combination of CB and CNF fillers within a flexible SEBS matrix provides a promising route toward highly strain-sensitive textile sensors for wearable human-motion monitoring.

Indexed as

carbon blackcarbon nanofiberflexible piezoresistive strain sensorpoly[styrene-b-(ethylene-co-butylene)-b-styrene] (SEBS)textile-based hybrid piezoresistive sensor

Identifiers

PMID42797113
PMCPMC13611405

What Socratic holds

Textmetadata
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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 Socratic graph.