Evidence map›Paper›PMID 42280865›Full record

ArticleSensors (Basel, Switzerland)2026

Flexible Tactile Sensor System Based on Piezoresistive Layer: Technology and Construction.

Viktor Novák, Jaromír Volf, Roman Hrmo, Petra Kvasnová, Vladimír Ryženko, Daniel Novák, Alena Očkajová

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

7 authors.

Viktor NovákDepartment of Electrical Engineering and Automation, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic.
Jaromír VolfDepartment of Electrical Engineering and Automation, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic.ORCID 0000-0002-1816-3989
Roman HrmoDepartment of Didactics of Technical Subjects, DTI University, 018 41 Dubnica nad Váhom, Slovakia.
Petra KvasnováDepartment of Technology, Matej Bel University, 974 01 Banská Bystrica, Slovakia.
Vladimír RyženkoDepartment of Electrical Engineering and Automation, Czech University of Life Sciences Prague, 165 00 Prague, Czech Republic.
Daniel NovákDepartment of Technology, Matej Bel University, 974 01 Banská Bystrica, Slovakia.
Alena OčkajováDepartment of Technology, Matej Bel University, 974 01 Banská Bystrica, Slovakia.ORCID 0000-0001-9347-4501

Funding

Technology Agency of the Czech Republic FW01010217
6 · The paper itself

Abstract

SITSCAN CS is an original tactile system, which was primarily developed to investigate pressure distribution on uneven surfaces, e.g., chairs; however, due to its flexibility and modular conception, it can be utilized in other industrial or medical applications too. It consists of a flexible, PET-based PCB print-made sensing plate with active area of 50 × 50 cm with a placed matrix of 50 × 50 individual sensors. It uses the piezoresistive effect of the conductive ink layer as the transducing technology between the applied pressure and the output electrical signal. The tactile system further consists of control electronic circuits which process the measured data with up to 1000 fps with a maximal possible resolution 80 × 80 sensing points. The acquired data can be visualized, stored and further processed by means of the respective PC control program. The article describes the theoretical basis for the tactile system, as well as its development, construction, technical specifications and the testing process.

Indexed as

conductive inkpiezoresistivepressuresensortactile system

Identifiers

PMID42280865
PMCPMC13259042

What OpenQuestion holds

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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.