Evidence map›Paper›PMID 38510589›Full record

ArticleWearable technologies2023

Effect of passive shoulder exoskeleton support during working with arms over shoulder level.

Annina Brunner, Rachel van Sluijs, Tobias Luder, Cherilyn Camichel, Melanie Kos, Dario Bee, Volker Bartenbach, Olivier Lambercy

Abstract read
In one paragraph

Article in Wearable technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

8 authors.

Annina BrunnerDepartment of Health Sciences and Technology, ETH, Zurich, Switzerland.ORCID https://orcid.org/0009-0005-0497-2207
Rachel van SluijsResearch and Development, Auxivo AG, Schwerzenbach, Switzerland.ORCID https://orcid.org/0000-0001-7939-7554
Tobias LuderDepartment of Health Sciences and Technology, ETH, Zurich, Switzerland.
Cherilyn CamichelDepartment of Health Sciences and Technology, ETH, Zurich, Switzerland.
Melanie KosResearch and Development, Auxivo AG, Schwerzenbach, Switzerland.
Dario BeeResearch and Development, Auxivo AG, Schwerzenbach, Switzerland.
Volker BartenbachResearch and Development, Auxivo AG, Schwerzenbach, Switzerland.
Olivier LambercyDepartment of Health Sciences and Technology, ETH, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal disorders have the highest prevalence of work-related health problems. Due to the aging population, the prevalence of shoulder pain in workers in physically demanding occupations is increasing, thereby causing rising costs to society and underlining the need for preventive technologies. Wearable support structures are designed to reduce the physical work load during physically demanding tasks. Here, we evaluate the physiological benefit of the DeltaSuit, a novel passive shoulder exoskeleton, using an assessment framework that conforms to the approach proposed in the literature. In this study, 32 healthy volunteers performed isometric, quasi-isometric, and dynamic tasks that represent typical overhead work to evaluate the DeltaSuit performance. Muscle activity of the arm, neck, shoulder, and back muscles, as well as cardiac cost, perceived exertion, and task-related discomfort during task execution with and without the exoskeleton were compared. When working with the DeltaSuit, muscle activity was reduced up to 56% (

Indexed as

cardiac costmuscle activityoccupational exoskeletonspassive exoskeletonpreventive technologysoft exoskeletontextile springusability

Identifiers

PMID38510589
PMCPMC10952051

What OpenQuestion holds

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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.