Evidence map›Paper›PMID 41902178›Full record

ArticleSensors (Basel, Switzerland)2026

Dynamical Artifacts in Knitted Resistive Strain Sensors: Effects of Conductive Yarns, Knitting Structures, and Loading Rates.

Alexander Oks Junior, Alexander Okss, Alexei Katashev, Uģis Briedis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

4 authors.

Alexander Oks JuniorInstitute of Architecture and Design, Riga Technical University, Kipsalas 6, LV-1048 Riga, Latvia.
Alexander OkssInstitute of Architecture and Design, Riga Technical University, Kipsalas 6, LV-1048 Riga, Latvia.ORCID 0000-0001-6925-1842
Alexei KatashevInstitute of Mechanical and Biomedical Engineering, Riga Technical University, Kipsalas 6b, LV-1048 Riga, Latvia.
Uģis BriedisInstitute of Architecture and Design, Riga Technical University, Kipsalas 6, LV-1048 Riga, Latvia.ORCID 0000-0002-5005-8767

Funding

Latvian Scientific Council project "Development of knitted self-generating sensors: combining physics and knitting technology". lzp-2022/1-0290
6 · The paper itself

Abstract

This study investigates the dynamic artifacts (DAs) in knitted resistive strain sensors (KRSS) subjected to various deformation types, including stair-wise, trapezoidal, and triangle-type deformations. The presence of DAs, characterized by sharp peak-wise increases in resistance followed by a gradual decline, was observed across all KRSS samples. The amplitude of DA peaks increased with higher deformation velocities within the investigated range of 2.6-40 cm/s. The study also identified the temporal offset between resistance and deformation during linear deformation, suggesting a complex mechanism underlying DAs. The results demonstrate that DAs are most prominent in stepwise and trapezoidal deformations, while continuous deformations like triangle-type loading partially mask these artifacts. The resistance signals were recorded at a sampling rate of 150 Hz, with temporal desynchronization between recorded parameters not exceeding 6.7 ms, enabling the observation of dynamic effects. Manifestation of DAs in KRSS degrades the metrological characteristics of KRSS and cannot be ignored. This paper provides insights into the relationship between KRSS structure, deformation velocity, and DA behavior, and provides an experimental basis for future compensation approaches to mitigate the impact of DAs on measurement accuracy.

Indexed as

conductive yarnsdynamical artifactsknitted resistive sensorssmart textiles

Identifiers

PMID41902178
PMCPMC13030593

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.