Evidence map›Paper›PMID 36772153›Full record

ArticleSensors (Basel, Switzerland)2023

A Novel Screen-Printed Textile Interface for High-Density Electromyography Recording.

Luis Pelaez Murciego, Abiodun Komolafe, Nikola Peřinka, Helga Nunes-Matos, Katja Junker, Ander García Díez, Senentxu Lanceros-Méndez, Russel Torah, Erika G Spaich, Strahinja Dosen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. NeuraLoop: a high bandwidth closed-loop human-machine interface.Journal of neuroengineering and rehabilitation · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. 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

10 authors.

Luis Pelaez MurciegoNeurorehabilitation Systems, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, 9260 Aalborg, Denmark.
Abiodun KomolafeSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-3618-2390
Nikola PeřinkaBCMaterials, Basque Centre for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain.ORCID 0000-0003-1768-4528
Helga Nunes-MatosSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.
Katja JunkerIDUN Technologies AG, 8152 Opfikon, Switzerland.
Ander García DíezBCMaterials, Basque Centre for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain.ORCID 0000-0003-3584-5030
Senentxu Lanceros-MéndezBCMaterials, Basque Centre for Materials, Applications and Nanostructures, UPV/EHU Science Park, 48940 Leioa, Spain.ORCID 0000-0001-6791-7620
Russel TorahSchool of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-5598-2860
Erika G SpaichNeurorehabilitation Systems, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, 9260 Aalborg, Denmark.ORCID 0000-0003-1275-4064
Strahinja DosenNeurorehabilitation Systems, Department of Health Science and Technology, Faculty of Medicine, Aalborg University, 9260 Aalborg, Denmark.ORCID 0000-0003-3035-147X

Funding

Horizon 2020 Wearplex (825339)Independent Research Foundation Denmark ROBIN (8022-00243A)
6 · The paper itself

Abstract

Recording electrical muscle activity using a dense matrix of detection points (high-density electromyography, EMG) is of interest in a range of different applications, from human-machine interfacing to rehabilitation and clinical assessment. The wider application of high-density EMG is, however, limited as the clinical interfaces are not convenient for practical use (e.g., require conductive gel/cream). In the present study, we describe a novel dry electrode (TEX) in which the matrix of sensing pads is screen printed on textile and then coated with a soft polymer to ensure good skin-electrode contact. To benchmark the novel solution, an identical electrode was produced using state-of-the-art technology (polyethylene terephthalate with hydrogel, PET) and a process that ensured a high-quality sample. The two electrodes were then compared in terms of signal quality as well as functional application. The tests showed that the signals collected using PET and TEX were characterised by similar spectra, magnitude, spatial distribution and signal-to-noise ratio. The electrodes were used by seven healthy subjects and an amputee participant to recognise seven hand gestures, leading to similar performance during offline analysis and online control. The comprehensive assessment, therefore, demonstrated that the proposed textile interface is an attractive solution for practical applications.

Indexed as

HydrogelsTextilesElectrodesElectromyographyHumansSkinHydrogelsamputationhigh-density EMGmyocontrolscreen printingtextile electrodes

Identifiers

PMID36772153
PMCPMC9919117

What OpenQuestion holds

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LicenceCC BY
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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.