Evidence map›Paper›PMID 30899061›Full record

ArticleScientific reports2019

Capacitive technologies for highly controlled and personalized electrical stimulation by implantable biomedical systems.

Marco P Soares Dos Santos, J Coutinho, Ana Marote, Bárbara Sousa, A Ramos, Jorge A F Ferreira, Rodrigo Bernardo, André Rodrigues, A Torres Marques, Odete A B da Cruz E Silva and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The application of impantable sensors in the musculoskeletal system: a review.Frontiers in bioengineering and biotechnology · 2024
    Review
  6. Review
  7. Article
  8. Multifunctional Smart Bone Implants: Fiction or Future?-A New Perspective.Frontiers in bioengineering and biotechnology · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
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

13 authors.

Marco P Soares Dos SantosCentre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal. marco.santos@ua.pt.
J CoutinhoDepartment of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
Ana MaroteInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Bárbara SousaInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
A RamosCentre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal.
Jorge A F FerreiraCentre for Mechanical Technology & Automation (TEMA), University of Aveiro, Aveiro, Portugal.
Rodrigo BernardoDepartment of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
André RodriguesDepartment of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
A Torres MarquesAssociated Laboratory for Energy, Transports and Aeronautics (LAETA), Porto, Portugal.
Odete A B da Cruz E SilvaInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.
Edward P FurlaniDepartment of Chemical and Biological Engineering, Department of Electrical Engineering, University at Buffalo, SUNY, Buffalo, NY, USA.
José A O SimõesDepartment of Mechanical Engineering, University of Aveiro, Aveiro, Portugal.
Sandra I VieiraInstitute of Biomedicine (iBiMED), Department of Medical Sciences, University of Aveiro, Aveiro, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cosurface electrode architectures are able to deliver personalized electric stimuli to target tissues. As such, this technology holds potential for a variety of innovative biomedical devices. However, to date, no detailed analyses have been conducted to evaluate the impact of stimulator architecture and geometry on stimuli features. This work characterizes, for the first time, the electric stimuli delivered to bone cellular tissues during in vitro experiments, when using three capacitive architectures: stripped, interdigitated and circular patterns. Computational models are presented that predict the influence of cell confluence, cosurface architecture, electrodes geometry, gap size between electrodes and power excitation on the stimuli delivered to cellular layers. The results demonstrate that these stimulators are able to deliver osteoconductive stimuli. Significant differences in stimuli distributions were observed for different stimulator designs and different external excitations. The thickness specification was found to be of utmost importance. In vitro experiments using an osteoblastic cell line highlight that cosurface stimulation at a low frequency can enhance osteoconductive responses, with some electrode-specific differences being found. A major feature of this type of work is that it enables future detailed analyses of stimuli distribution throughout more complex biological structures, such as tissues and organs, towards sophisticated biodevice personalization.

Indexed as

Computer SimulationProstheses and ImplantsElectric StimulationElectrodesHumansPrecision Medicine

Identifiers

PMID30899061
PMCPMC6428833

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.