Evidence map›Paper›PMID 33501340›Full record

ArticleFrontiers in robotics and AI2020

Applicability of an Active Back-Support Exoskeleton to Carrying Activities.

Tommaso Poliero, Maria Lazzaroni, Stefano Toxiri, Christian Di Natali, Darwin G Caldwell, Jesús Ortiz

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  3. Review
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  9. Article
  10. Exoskeletons: Contribution to Occupational Health and Safety.Bioengineering (Basel, Switzerland) · 2023
    Review
  11. Article
  12. Article
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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

6 authors.

Tommaso PolieroDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Maria LazzaroniDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Stefano ToxiriDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Christian Di NataliDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Darwin G CaldwellDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Jesús OrtizDepartment of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Occupational back-support exoskeletons are becoming a more and more common solution to mitigate work-related lower-back pain associated with lifting activities. In addition to lifting, there are many other tasks performed by workers, such as carrying, pushing, and pulling, that might benefit from the use of an exoskeleton. In this work, the impact that carrying has on lower-back loading compared to lifting and the need to select different assistive strategies based on the performed task are presented. This latter need is studied by using a control strategy that commands for constant torques. The results of the experimental campaign conducted on 9 subjects suggest that such a control strategy is beneficial for the back muscles (up to 12% reduction in overall lumbar activity), but constrains the legs (around 10% reduction in hip and knee ranges of motion). Task recognition and the design of specific controllers can be exploited by active and, partially, passive exoskeletons to enhance their versatility, i.e., the ability to adapt to different requirements.

Indexed as

carryingexoskeletonhuman activity recognitionliftingoccupational exoskeletontask recognitionversatility

Identifiers

PMID33501340
PMCPMC7805869

What OpenQuestion holds

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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.