Evidence map›Paper›PMID 40218539›Full record

ArticleSensors (Basel, Switzerland)2025

Assessing Effectiveness of Passive Exoskeletons and Tool Selection on Ergonomic Safety in Manhole Cover Removal.

Xun Wang, Ali Golabchi, Maryam Shakourisalim, Karla Beltran Martinez, Zeinab Estaji, Sarah Krell, Mahdi Tavakoli, Hossein Rouhani

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xun WangDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Ali GolabchiDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-5499-3218
Maryam ShakourisalimDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Karla Beltran MartinezDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Zeinab EstajiDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Sarah KrellEPCOR, Edmonton, AB T5H 0E9, Canada.ORCID 0009-0003-6471-9049
Mahdi TavakoliDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-7427-6961
Hossein RouhaniDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-4790-9313

Funding

Alberta Innovates ALLRP 567348 - 21Natural Sciences and Engineering Research Council ALLRP 567348 - 21
6 · The paper itself

Abstract

Manual material handling, a common practice in various industries, often involves moving or lifting heavy objects, placing significant physical strain on workers, especially in the lower back. A prime example is manhole cover removal, which typically requires handling heavy weights, potentially leading to lower back muscle strain. This study investigates the effectiveness of a passive exoskeleton in reducing ergonomic risks during manhole cover removal. Twenty able-bodied workers participated, performing the task with and without extractor tools in the field. Techniques such as surface electromyography and inertial measurement units were employed to measure muscle activity and body posture using the Rapid Entire Body Assessment (REBA). This study compared muscle activities and REBA scores under different conditions: manually lifting covers, using an in-house lever tool, and using a sledgehammer and a pick bar tool named Jake, both with and without an exoskeleton. Results revealed that the in-house Lever tool was the safest and most efficient method, resulting in the lowest muscle activities and REBA scores, regardless of exoskeleton use. Interestingly, the exoskeleton significantly reduced muscle strain when using the Jake tool. These findings indicate that while the Lever tool is optimal for this task, passive exoskeletons can effectively lower ergonomic risks associated with more physically demanding tools.

Indexed as

ErgonomicsExoskeleton DeviceAdultElectromyographyFemaleHumansMalePostureergonomic risk assessmentindustrial exoskeletonlow back pain

Identifiers

PMID40218539
PMCPMC11991122

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.