Evidence map›Paper›PMID 35897411›Full record

ArticleInternational journal of environmental research and public health2022

Biomechanical Analysis of Stoop and Free-Style Squat Lifting and Lowering with a Generic Back-Support Exoskeleton Model.

Mark Tröster, Sarah Budde, Christophe Maufroy, Michael Skipper Andersen, John Rasmussen, Urs Schneider, Thomas Bauernhansl

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Methodology for the knowledge-based selection of occupational exoskeletons.Production engineering : research and development · 2025
    Article
  6. Article
  7. Article
  8. Model-Based Biomechanical Exoskeleton Concept Optimization for a Representative Lifting Task in Logistics.International journal of environmental research and public health · 2022
    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

7 authors.

Mark TrösterFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany.ORCID 0000-0002-9488-0971
Sarah BuddeFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany.
Christophe MaufroyFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany.
Michael Skipper AndersenDepartment of Materials and Production, Aalborg University, 9220 Aalborg, Denmark.ORCID 0000-0001-8275-9472
John RasmussenDepartment of Materials and Production, Aalborg University, 9220 Aalborg, Denmark.ORCID 0000-0003-3257-5653
Urs SchneiderFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany.
Thomas BauernhanslFraunhofer Institute for Manufacturing Engineering and Automation IPA, 70569 Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal disorders (MSDs) induced by industrial manual handling tasks are a major issue for workers and companies. As flexible ergonomic solutions, occupational exoskeletons can decrease critically high body stress in situations of awkward postures and motions. Biomechanical models with detailed anthropometrics and motions help us to acquire a comprehension of person- and application-specifics by considering the intended and unintended effects, which is crucial for effective implementation. In the present model-based analysis, a generic back-support exoskeleton model was introduced and applied to the motion data of one male subject performing symmetric and asymmetric dynamic manual handling tasks. Different support modes were implemented with this model, including support profiles typical of passive and active systems and an unconstrained optimal support mode used for reference to compare and quantify their biomechanical effects. The conducted simulations indicate that there is a high potential to decrease the peak compression forces in L4/L5 during the investigated heavy loaded tasks for all motion sequences and exoskeleton support modes (mean reduction of 16.0% without the optimal support mode). In particular, asymmetric motions (mean reduction of 11.9%) can be relieved more than symmetric ones (mean reduction of 8.9%) by the exoskeleton support modes without the optimal assistance. The analysis of metabolic energy consumption indicates a high dependency on lifting techniques for the effectiveness of the exoskeleton support. While the exoskeleton support substantially reduces the metabolic cost for the free-squat motions, a slightly higher energy consumption was found for the symmetric stoop motion technique with the active and optimal support mode.

Indexed as

Exoskeleton DeviceBiomechanical PhenomenaElectromyographyHumansLiftingMalePosturebiomechanicsergonomicsmanual handlingmusculoskeletal modelingoccupational exoskeletons

Identifiers

PMID35897411
PMCPMC9332239

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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.