Evidence map›Paper›PMID 40297058›Full record

ArticleWearable technologies2025

Evaluation of the static and dynamic assistive torque of a passive upper limb occupational exoskeleton.

Etienne Ricard, Chris Hayot, Isabelle Clerc-Urmès, Laurent Claudon, Kévin Desbrosses, Charles Pontonnier

Abstract read
In one paragraph

Article in Wearable technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Etienne RicardDépartement Sciences Appliquées au Travail et aux Organisations, Institut National de Recherche et Sécurité (INRS), Vandoeuvre-les-Nancy, France.ORCID https://orcid.org/0009-0008-0498-0268
Chris HayotDépartement Sciences Appliquées au Travail et aux Organisations, Institut National de Recherche et Sécurité (INRS), Vandoeuvre-les-Nancy, France.
Isabelle Clerc-UrmèsDépartement Sciences Appliquées au Travail et aux Organisations, Institut National de Recherche et Sécurité (INRS), Vandoeuvre-les-Nancy, France.
Laurent ClaudonDépartement Sciences Appliquées au Travail et aux Organisations, Institut National de Recherche et Sécurité (INRS), Vandoeuvre-les-Nancy, France.
Kévin DesbrossesDépartement Sciences Appliquées au Travail et aux Organisations, Institut National de Recherche et Sécurité (INRS), Vandoeuvre-les-Nancy, France.
Charles PontonnierComBO research team, Université de Rennes, Inria, CNRS, IRISA-UMR 6074, Rennes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adjusting the assistive torque of upper limb occupational exoskeletons is essential to optimize their effectiveness and user acceptance in companies. This adjustment enables a balance to be struck between the expected benefits and potential undesirable effects associated with their use, particularly for the shoulder joint, which is sensitive to the balance of forces. Despite this, no study has yet evaluated these assistive torques in static and dynamic conditions representative of work situations. The aim of this article is therefore to evaluate these assistive torques under these two conditions, using an isokinetic dynamometer. Angular velocities ranging from 0 to 240°/s and four levels of assistance were investigated. The results showed that the maximum assistive torques in flexion (energy restitution phase) were lower than those in extension (tensioning phase) by 20 to 36% and were median in static conditions. It was also observed that the level of assistance and the exoskeleton opening angles had a strong impact on the assistive torques, unlike the angular velocity in dynamic conditions, which had a minimal effect. Quantifying these assistive torques is crucial for assessing their biomechanical impact and adjusting the exoskeleton's assistance to the operator and the task performed.

Indexed as

biomechanicsexoskeletonshuman-robot interactionperformance characterization

Identifiers

PMID40297058
PMCPMC12034577

What OpenQuestion holds

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LicenceCC BY
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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.