Evidence map›Paper›PMID 38510984›Full record

ArticleWearable technologies2024

Benchmarking commercially available soft and rigid passive back exoskeletons for an industrial workplace.

Mohamed I Mohamed Refai, Alejandro Moya-Esteban, Lynn van Zijl, Herman van der Kooij, Massimo Sartori

Open access · goldAbstract read
In one paragraph

Article in Wearable technologies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Mohamed I Mohamed RefaiDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0002-3617-5131
Alejandro Moya-EstebanDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Lynn van ZijlDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Herman van der KooijDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
Massimo SartoriDepartment of Biomechanical Engineering, University of Twente, Enschede, The Netherlands.
University of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-back pain is a common occupational hazard for industrial workers. Several studies show the advantages of using rigid and soft back-support passive exoskeletons and exosuits (exos) to reduce the low-back loading and risk of injury. However, benefits of using these exos have been shown to be task-specific. Therefore, in this study, we developed a benchmarking approach to assess exos for an industrial workplace at Hankamp Gears B.V. We assessed two rigid (Laevo Flex, Paexo back) and two soft (Auxivo Liftsuit 1.0, and Darwing Hakobelude) exos for tasks resembling the workplace. We measured the assistive moment provided by each exo and their respective influence on muscle activity as well as the user's perception of comfort and exertion. Ten participants performed four lifting tasks (

Indexed as

biomechanicsexoskeletonsexosuits

Identifiers

PMID38510984
PMCPMC10952052
OpenAlexW4391852227

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.