Evidence map›Paper›PMID 34034762›Full record

ArticleJournal of neuroengineering and rehabilitation2021

A compact system for simultaneous stimulation and recording for closed-loop myoelectric control.

Martin A Garenfeld, Nikola Jorgovanovic, Vojin Ilic, Matija Strbac, Milica Isakovic, Jakob L Dideriksen, Strahinja Dosen

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2021. 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
–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

7 citing papers in PubMed.

  1. Article
  2. NeuraLoop: a high bandwidth closed-loop human-machine interface.Journal of neuroengineering and rehabilitation · 2025
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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

7 authors.

Martin A GarenfeldDepartment of Health Science and Technology, Aalborg University, Frederik Bajers Vej 7D, 9220, Aalborg Ø, Denmark. magar@hst.aau.dk.
Nikola JorgovanovicDepartment of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia.
Vojin IlicDepartment of Computing and Control Engineering, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia.
Matija StrbacTecnalia Serbia Ltd., Deligradska 9/39, 11000, Belgrade, Serbia.
Milica IsakovicTecnalia Serbia Ltd., Deligradska 9/39, 11000, Belgrade, Serbia.
Jakob L DideriksenDepartment of Health Science and Technology, Aalborg University, Frederik Bajers Vej 7D, 9220, Aalborg Ø, Denmark.
Strahinja DosenDepartment of Health Science and Technology, Aalborg University, Frederik Bajers Vej 7D, 9220, Aalborg Ø, Denmark. sdosen@hst.aau.dk.ORCID 0000-0003-3035-147X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite important advancements in control and mechatronics of myoelectric prostheses, the communication between the user and his/her bionic limb is still unidirectional, as these systems do not provide somatosensory feedback. Electrotactile stimulation is an attractive technology to close the control loop since it allows flexible modulation of multiple parameters and compact interface design via multi-pad electrodes. However, the stimulation interferes with the recording of myoelectric signals and this can be detrimental to control.

methodsWe present a novel compact solution for simultaneous recording and stimulation through dynamic blanking of stimulation artefacts. To test the system, a feedback coding scheme communicating wrist rotation and hand aperture was developed specifically to stress the myoelectric control while still providing meaningful information to the subjects. Ten subjects participated in an experiment, where the quality of closed-loop myoelectric control was assessed by controlling a cursor in a two degrees of freedom target-reaching task. The benchmark performance with visual feedback was compared to that achieved by combining visual feedback and electrotactile stimulation as well as by using electrotactile feedback only.

resultsThere was no significant difference in performance between visual and combined feedback condition with regards to successfully reached targets, time to reach a target, path efficiency and the number of overshoots. Therefore, the quality of myoelectric control was preserved in spite of the stimulation. As expected, the tactile condition was significantly poorer in completion rate (100/4% and 78/25% for combined and tactile condition, respectively) and time to reach a target (9/2 s and 13/4 s for combined and tactile condition, respectively). However, the performance in the tactile condition was still good, with no significant difference in path efficiency (38/8%) and the number of overshoots (0.5/0.4 overshoots), indicating that the stimulation was meaningful for the subjects and useful for closed-loop control.

conclusionsOverall, the results demonstrated that the developed system can provide robust closed-loop control using electrotactile stimulation. The system supports different encoding schemes and allows placing the recording and stimulation electrodes next to each other. This is an important step towards an integrated solution where the developed unit will be embedded into a prosthetic socket.

Indexed as

AlgorithmsArtifactsArtificial LimbsProsthesis DesignUser-Computer InterfaceAdultElectric Stimulation TherapyElectromyographyFeedback, SensoryFemaleHumansMaleTouchClosed-loop controlDynamic blankingElectrotactile stimulationMyoelectric prosthesisSensory feedback

Identifiers

PMID34034762
PMCPMC8146235

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Registered trials

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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.