Evidence map›Paper›PMID 39050266›Full record

ArticleWearable technologies2020

Evaluation of an acceleration-based assistive strategy to control a back-support exoskeleton for manual material handling.

Maria Lazzaroni, Ali Tabasi, Stefano Toxiri, Darwin G Caldwell, Elena De Momi, Wietse van Dijk, Michiel P de Looze, Idsart Kingma, Jaap H van Dieën, Jesús Ortiz

Abstract read
In one paragraph

Article in Wearable technologies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

10 authors.

Maria LazzaroniDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.ORCID https://orcid.org/0000-0002-1548-7005
Ali TabasiDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Stefano ToxiriDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Darwin G CaldwellDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.
Elena De MomiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Wietse van DijkTNO, Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-5735-4446
Michiel P de LoozeDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Idsart KingmaDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jaap H van DieënDepartment of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jesús OrtizDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To reduce the incidence of occupational musculoskeletal disorders, back-support exoskeletons are being introduced to assist manual material handling activities. Using a device of this type, this study investigates the effects of a new control strategy that uses the angular acceleration of the user's trunk to assist during lifting tasks. To validate this new strategy, its effectiveness was experimentally evaluated relative to the condition without the exoskeleton as well as against existing strategies for comparison. Using the exoskeleton during lifting tasks reduced the peak compression force on the L5S1 disc by up to 16%, with all the control strategies. Substantial differences between the control strategies in the reductions of compression force, lumbar moment and back muscle activation were not observed. However, the new control strategy reduced the movement speed less with respect to the existing strategies. Thanks to improved timing in the assistance in relation to the typical dynamics of the target task, the hindrance to typical movements appeared reduced, thereby promoting intuitiveness and comfort.

Indexed as

control strategy for active exoskeletonsliftingmanual material handlingmusculoskeletal disordersoccupational back-support exoskeleton

Identifiers

PMID39050266
PMCPMC11265403

What OpenQuestion holds

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LicenceCC BY
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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.