Evidence map›Paper›PMID 35672857›Full record

ArticleJournal of neuroengineering and rehabilitation2022

Floating EMG sensors and stimulators wirelessly powered and operated by volume conduction for networked neuroprosthetics.

Laura Becerra-Fajardo, Marc Oliver Krob, Jesus Minguillon, Camila Rodrigues, Christine Welsch, Marc Tudela-Pi, Albert Comerma, Filipe Oliveira Barroso, Andreas Schneider, Antoni Ivorra

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Differential Tissue-Coupled Powering for Battery-Free Injectable Electroceuticals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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 at 5 institutions in 2 countries.

Laura Becerra-FajardoDepartment of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain. laura.becerra@upf.edu.
Marc Oliver KrobFraunhofer Institute for Biomedical Engineering IBMT, 66280, Sulzbach, Germany.
Jesus MinguillonDepartment of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain.
Camila RodriguesNeural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28002, Madrid, Spain.
Christine WelschFraunhofer Institute for Biomedical Engineering IBMT, 66280, Sulzbach, Germany.
Marc Tudela-PiDepartment of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain.
Albert ComermaDepartment of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain.
Filipe Oliveira BarrosoNeural Rehabilitation Group, Cajal Institute, Spanish National Research Council (CSIC), 28002, Madrid, Spain.
Andreas SchneiderFraunhofer Institute for Biomedical Engineering IBMT, 66280, Sulzbach, Germany.
Antoni IvorraDepartment of Information and Communications Technologies, Universitat Pompeu Fabra, 08018, Barcelona, Spain.
Pompeu Fabra University · ESFraunhofer Institute for Biomedical Engineering · DEConsejo Superior de Investigaciones Científicas · ESInstituto Cajal · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplantable neuroprostheses consisting of a central electronic unit wired to electrodes benefit thousands of patients worldwide. However, they present limitations that restrict their use. Those limitations, which are more adverse in motor neuroprostheses, mostly arise from their bulkiness and the need to perform complex surgical implantation procedures. Alternatively, it has been proposed the development of distributed networks of intramuscular wireless microsensors and microstimulators that communicate with external systems for analyzing neuromuscular activity and performing stimulation or controlling external devices. This paradigm requires the development of miniaturized implants that can be wirelessly powered and operated by an external system. To accomplish this, we propose a wireless power transfer (WPT) and communications approach based on volume conduction of innocuous high frequency (HF) current bursts. The currents are applied through external textile electrodes and are collected by the wireless devices through two electrodes for powering and bidirectional digital communications. As these devices do not require bulky components for obtaining power, they may have a flexible threadlike conformation, facilitating deep implantation by injection.

methodsWe report the design and evaluation of advanced prototypes based on the above approach. The system consists of an external unit, floating semi-implantable devices for sensing and stimulation, and a bidirectional communications protocol. The devices are intended for their future use in acute human trials to demonstrate the distributed paradigm. The technology is assayed in vitro using an agar phantom, and in vivo in hindlimbs of anesthetized rabbits.

resultsThe semi-implantable devices were able to power and bidirectionally communicate with the external unit. Using 13 commands modulated in innocuous 3 MHz HF current bursts, the external unit configured the sensing and stimulation parameters, and controlled their execution. Raw EMG was successfully acquired by the wireless devices at 1 ksps.

conclusionsThe demonstrated approach overcomes key limitations of existing neuroprostheses, paving the way to the development of distributed flexible threadlike sensors and stimulators. To the best of our knowledge, these devices are the first based on WPT by volume conduction that can work as EMG sensors and as electrical stimulators in a network of wireless devices.

Indexed as

Prostheses and ImplantsWireless TechnologyAnimalsElectrodesHindlimbHumansRabbitsAIMDsBidirectional communicationsElectrical stimulationElectromyographySensorVolume conductionWireless power transfer

Identifiers

PMID35672857
PMCPMC9171952
OpenAlexW4281723787

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.