Evidence map›Paper›PMID 38544073›Full record

ArticleSensors (Basel, Switzerland)2024

Design, Fabrication and Evaluation of a Stretchable High-Density Electromyography Array.

Rejin John Varghese, Matteo Pizzi, Aritra Kundu, Agnese Grison, Etienne Burdet, Dario Farina

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Medium density EMG armband for gesture recognition.Frontiers in neurorobotics · 2025
    Article
  7. Review
  8. Article
  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

6 authors.

Rejin John VargheseDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0000-0002-1553-2144
Matteo PizziDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0000-0001-7141-4540
Aritra KunduDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0000-0003-2973-3577
Agnese GrisonDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0009-0001-5981-3589
Etienne BurdetDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0000-0002-2123-0185
Dario FarinaDepartment of Bioengineering, Faculty of Engineering, Imperial College London, London W12 0BZ, UK.ORCID 0000-0002-7883-2697

Funding

Engineering and Physical Sciences Research Council EP/T020970/1
6 · The paper itself

Abstract

The adoption of high-density electrode systems for human-machine interfaces in real-life applications has been impeded by practical and technical challenges, including noise interference, motion artefacts and the lack of compact electrode interfaces. To overcome some of these challenges, we introduce a wearable and stretchable electromyography (EMG) array, and present its design, fabrication methodology, characterisation, and comprehensive evaluation. Our proposed solution comprises dry-electrodes on flexible printed circuit board (PCB) substrates, eliminating the need for time-consuming skin preparation. The proposed fabrication method allows the manufacturing of stretchable sleeves, with consistent and standardised coverage across subjects. We thoroughly tested our developed prototype, evaluating its potential for application in both research and real-world environments. The results of our study showed that the developed stretchable array matches or outperforms traditional EMG grids and holds promise in furthering the real-world translation of high-density EMG for human-machine interfaces.

Indexed as

ArtifactsElectrodesElectromyographyHumansMotionHD-EMGhuman–machine interfacingsoft robotics and sensingsurface electromyographywearable sensors

Identifiers

PMID38544073
PMCPMC10975572

What OpenQuestion holds

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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.