Evidence map›Paper›PMID 37370175›Full record

ArticleJournal of neuroengineering and rehabilitation2023

Assisting walking balance using a bio-inspired exoskeleton controller.

M Afschrift, E van Asseldonk, M van Mierlo, C Bayon, A Keemink, L D'Hondt, H van der Kooij, F De Groote

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
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  5. Biomechanical models in the lower-limb exoskeletons development: a review.Journal of neuroengineering and rehabilitation · 2025
    Review
  6. Ankle Exoskeletons May Hinder Standing Balance in Simple Models of Older and Younger Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  7. Article
  8. Article
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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

8 authors.

M AfschriftDepartment of Mechanical Engineering, Robotics Core Lab of Flanders Make, KU Leuven, Leuven, Belgium. m.a.afschrift@vu.nl.
E van AsseldonkDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
M van MierloDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
C BayonDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
A KeeminkDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
L D'HondtDepartment of Movement Sciences, KU Leuven, Leuven, Belgium.
H van der Kooij *Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
F De Groote *Department of Movement Sciences, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBalance control is important for mobility, yet exoskeleton research has mainly focused on improving metabolic energy efficiency. Here we present a biomimetic exoskeleton controller that supports walking balance and reduces muscle activity.

methodsHumans restore balance after a perturbation by adjusting activity of the muscles actuating the ankle in proportion to deviations from steady-state center of mass kinematics. We designed a controller that mimics the neural control of steady-state walking and the balance recovery responses to perturbations. This controller uses both feedback from ankle kinematics in accordance with an existing model and feedback from the center of mass velocity. Control parameters were estimated by fitting the experimental relation between kinematics and ankle moments observed in humans that were walking while being perturbed by push and pull perturbations. This identified model was implemented on a bilateral ankle exoskeleton.

resultsAcross twelve subjects, exoskeleton support reduced calf muscle activity in steady-state walking by 19% with respect to a minimal impedance controller (p < 0.001). Proportional feedback of the center of mass velocity improved balance support after perturbation. Muscle activity is reduced in response to push and pull perturbations by 10% (p = 0.006) and 16% (p < 0.001) and center of mass deviations by 9% (p = 0.026) and 18% (p = 0.002) with respect to the same controller without center of mass feedback.

conclusionOur control approach implemented on bilateral ankle exoskeletons can thus effectively support steady-state walking and balance control and therefore has the potential to improve mobility in balance-impaired individuals.

Indexed as

Exoskeleton DeviceAnkleAnkle JointBiomechanical PhenomenaElectromyographyGaitHumansWalkingAssist balance controlBiomimetic controlExoskeletonMusculoskeletal modelling

Identifiers

PMID37370175
PMCPMC10303867

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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.