Evidence map›Paper›PMID 35172846›Full record

ArticleJournal of neuroengineering and rehabilitation2022

Cooperative ankle-exoskeleton control can reduce effort to recover balance after unexpected disturbances during walking.

Cristina Bayón, Arvid Q L Keemink, Michelle van Mierlo, Wolfgang Rampeltshammer, Herman van der Kooij, Edwin H F van Asseldonk

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
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  5. Machine Learning Enables Rapid Detection of Slips Using a Robotic Hip Exoskeleton.IEEE transactions on medical robotics and bionics · 2025
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  8. Review
  9. Article
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  11. Assisting walking balance using a bio-inspired exoskeleton controller.Journal of neuroengineering and rehabilitation · 2023
    Article
  12. Article
  13. Article
  14. Advances on mechanical designs for assistive ankle-foot orthoses.Frontiers in bioengineering and biotechnology · 2023
    Review
  15. Investigating the Association of Quantitative Gait Stability Metrics With User Perception of Gait Interruption Due to Control Faults During Human-Prosthesis Interaction.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
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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

6 authors at 1 institution in 1 country.

Cristina BayónDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands. c.bayoncalderon@utwente.nl.ORCID 0000-0003-1825-1265
Arvid Q L KeeminkDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Michelle van MierloDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Wolfgang RampeltshammerDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Herman van der KooijDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Edwin H F van AsseldonkDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
University of Twente · NL

Funding

dutch research council nwo Project number P16-05
6 · The paper itself

Abstract

backgroundIn the last two decades, lower-limb exoskeletons have been developed to assist human standing and locomotion. One of the ongoing challenges is the cooperation between the exoskeleton balance support and the wearer control. Here we present a cooperative ankle-exoskeleton control strategy to assist in balance recovery after unexpected disturbances during walking, which is inspired on human balance responses.

methodsWe evaluated the novel controller in ten able-bodied participants wearing the ankle modules of the Symbitron exoskeleton. During walking, participants received unexpected forward pushes with different timing and magnitude at the pelvis level, while being supported (Exo-Assistance) or not (Exo-NoAssistance) by the robotic assistance provided by the controller. The effectiveness of the assistive strategy was assessed in terms of (1) controller performance (Detection Delay, Joint Angles, and Exerted Ankle Torques), (2) analysis of effort (integral of normalized Muscle Activity after perturbation onset); and (3) Analysis of center of mass COM kinematics (relative maximum COM Motion, Recovery Time and Margin of Stability) and spatio-temporal parameters (Step Length and Swing Time).

resultsIn general, the results show that when the controller was active, it was able to reduce participants' effort while keeping similar ability to counteract and withstand the balance disturbances. Significant reductions were found for soleus and gastrocnemius medialis activity of the stance leg when comparing Exo-Assistance and Exo-NoAssistance walking conditions.

conclusionsThe proposed controller was able to cooperate with the able-bodied participants in counteracting perturbations, contributing to the state-of-the-art of bio-inspired cooperative ankle exoskeleton controllers for supporting dynamic balance. In the future, this control strategy may be used in exoskeletons to support and improve balance control in users with motor disabilities.

Indexed as

Exoskeleton DeviceAnkleAnkle JointBiomechanical PhenomenaGaitHumansWalkingAnkleBalanceControlExoskeletonGaitHuman–robot interaction

Identifiers

PMID35172846
PMCPMC8851842
OpenAlexW4221070712

What OpenQuestion holds

Textmetadata
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.