Evidence map›Paper›PMID 39257282›Full record

ArticleJournal of the Royal Society, Interface2024

A millimetre-scale capacitive biosensing and biophysical stimulation system for emerging bioelectronic bone implants.

Diogo G Pires, Nuno M Silva, Bárbara M de Sousa, João L Marques, António Ramos, Jorge A F Ferreira, Raul Morais, Sandra I Vieira, Marco P Soares Dos Santos

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Diogo G PiresDepartment of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal.ORCID 0009-0002-3281-9048
Nuno M SilvaEngineering Department, University of Trás-os-Montes e Alto Douro , Vila Real 5000-801, Portugal.
Bárbara M de SousaDepartment of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro , Aveiro 3810-193, Portugal.ORCID 0000-0002-9218-2774
João L MarquesDepartment of Physics, University of Aveiro , Aveiro 3810-193, Portugal.
António RamosDepartment of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal.
Jorge A F FerreiraDepartment of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal.
Raul MoraisEngineering Department, University of Trás-os-Montes e Alto Douro , Vila Real 5000-801, Portugal.
Sandra I VieiraDepartment of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro , Aveiro 3810-193, Portugal.
Marco P Soares Dos SantosDepartment of Mechanical Engineering, Centre for Mechanical Technology & Automation (TEMA), University of Aveiro , Aveiro 3810-193, Portugal.ORCID 0000-0003-4299-1263

Funding

Fundação para a Ciência e a Tecnologia
6 · The paper itself

Abstract

Bioelectronic bone implants are being widely recognized as a promising technology for highly personalized bone/implant interface sensing and biophysical therapeutic stimulation. Such bioelectronic devices are based on an innovative concept with the ability to be applied to a wide range of implants, including in fixation and prosthetic systems. Recently, biointerface sensing using capacitive patterns was proposed to overcome the limitations of standard imaging technologies and other non-imaging technologies; moreover, electric stimulation using capacitive patterns was proposed to overcome the limitations of non-instrumented implants. We here provide an innovative low-power miniaturized electronic system with ability to provide both therapeutic stimulation and bone/implant interface monitoring using network-architectured capacitive interdigitated patterns. It comprises five modules: sensing, electric stimulation, processing, communication and power management. This technology was validated using

Indexed as

Biosensing TechniquesAnimalsBone-Implant InterfaceElectric StimulationHumansProstheses and Implantsbioelectronic implantbiointegrationcapacitive sensingelectric stimulationimplant interfacesmart implant

Identifiers

PMID39257282
PMCPMC11463222

What OpenQuestion holds

Textmetadata
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.