Evidence map›Paper›PMID 30794630›Full record

ArticlePloS one2019

A simulation environment for studying transcutaneous electrotactile stimulation.

Gloria Araiza Illan, Heiko Stüber, Ken E Friedl, Ian R Summers, Angelika Peer

Abstract read
In one paragraph

Article in PloS one, 2019. 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. Article
  2. Article
  3. 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

5 authors.

Gloria Araiza IllanEPSRC Centre for Doctoral Training in Future Autonomous and Robotic Systems (FARSCOPE), Bristol Robotics Laboratory, University of Bristol, Bristol, United Kingdom.ORCID 0000-0001-7539-5324
Heiko StüberChair of Information-oriented Control, Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.
Ken E FriedlChair of Automatic Control Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.
Ian R SummersBristol Robotics Laboratory, University of the West of England, Bristol, United Kingdom.
Angelika PeerFaculty of Science and Technology, Free University of Bozen - Bolzano, Bruneck - Brunico, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcutaneous electrical nerve stimulation (TENS) allows the artificial excitation of nerve fibres by applying electric-current pulses through electrodes on the skin's surface. This work involves the development of a simulation environment that can be used for studying transcutaneous electrotactile stimulation and its dependence on electrode layout and excitation patterns. Using an eight-electrode array implementation, it is shown how nerves located at different depths and with different orientations respond to specific injected currents, allowing the replication of already reported experimental findings and the creation of new hypotheses about the tactile sensations associated with certain stimulation patterns. The simulation consists of a finite element model of a human finger used to calculate the distribution of the electric potential in the finger tissues neglecting capacitive effects, and a cable model to calculate the excitation/inhibition of action potentials in each nerve.

Indexed as

Models, NeurologicalAction PotentialsComputer SimulationElectrodesEquipment DesignFingersFinite Element AnalysisHumansMechanoreceptorsMembrane PotentialsNerve FibersSkinTranscutaneous Electric Nerve Stimulation

Identifiers

PMID30794630
PMCPMC6386484

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.