Evidence map›Paper›PMID 33050438›Full record

ArticleSensors (Basel, Switzerland)2020

The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.

Alberto Ranavolo, Arash Ajoudani, Andrea Cherubini, Matteo Bianchi, Lars Fritzsche, Sergio Iavicoli, Massimo Sartori, Alessio Silvetti, Bram Vanderborght, Tiwana Varrecchia and 1 more

Open access · goldAbstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 4% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 51 citations in OpenAlex.

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  12. Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review.International journal of environmental research and public health · 2023
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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

11 authors at 6 institutions in 4 countries.

Alberto RanavoloDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00040 Rome, Italy.ORCID 0000-0002-0197-6166
Arash AjoudaniHRI2 Laboratory, Istituto Italiano di Tecnologia, 16163 Genova, Italy.
Andrea CherubiniLIRMM, University Montpellier, CNRS, 34000 Montpellier, France.ORCID 0000-0002-7272-6922
Matteo BianchiCentro di Ricerca "Enrico Piaggio" and Department of Information Engineering, Università di Pisa, 56126 Pisa, Italy.
Lars FritzscheErgonomics Division, IMK Automotive GmbH, 09128 Chemnitz, Germany.
Sergio IavicoliDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00040 Rome, Italy.
Massimo SartoriDepartment of Biomechanical Engineering, University of Twente, 7522 NB Enschede, The Netherlands.ORCID 0000-0003-0930-6535
Alessio SilvettiDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00040 Rome, Italy.
Bram VanderborghtBrubotics, Vrije Universiteit Brussel, 1050 Brussels, Belgium.ORCID 0000-0003-4881-9341
Tiwana VarrecchiaDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00040 Rome, Italy.
Francesco DraicchioDepartment of Occupational and Environmental Medicine, Epidemiology and Hygiene, INAIL, Monte Porzio Catone, 00040 Rome, Italy.
Istituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITCentre National de la Recherche Scientifique · FRItalian Institute of Technology · ITUniversity of Pisa · ITUniversity of Twente · NLVrije Universiteit Brussel · BE

Funding

European Union's Horizon 2020 research and innovation programme 871237
6 · The paper itself

Abstract

Due to the epochal changes introduced by "Industry 4.0", it is getting harder to apply the varying approaches for biomechanical risk assessment of manual handling tasks used to prevent work-related musculoskeletal disorders (WMDs) considered within the International Standards for ergonomics. In fact, the innovative human-robot collaboration (HRC) systems are widening the number of work motor tasks that cannot be assessed. On the other hand, new sensor-based tools for biomechanical risk assessment could be used for both quantitative "direct instrumental evaluations" and "rating of standard methods", allowing certain improvements over traditional methods. In this light, this Letter aims at detecting the need for revising the standards for human ergonomics and biomechanical risk assessment by analyzing the WMDs prevalence and incidence; additionally, the strengths and weaknesses of traditional methods listed within the International Standards for manual handling activities and the next challenges needed for their revision are considered. As a representative example, the discussion is referred to the lifting of heavy loads where the revision should include the use of sensor-based tools for biomechanical risk assessment during lifting performed with the use of exoskeletons, by more than one person (team lifting) and when the traditional methods cannot be applied. The wearability of sensing and feedback sensors in addition to human augmentation technologies allows for increasing workers' awareness about possible risks and enhance the effectiveness and safety during the execution of in many manual handling activities.

Indexed as

ErgonomicsMusculoskeletal DiseasesRisk AssessmentBiomechanical PhenomenaHumansIndustryLiftingOccupational InjuriesReference Standardshuman–robot collaboration technologiesInternational Standards for ergonomicssensor-based biomechanical risk assessmentwearable sensors

Identifiers

PMID33050438
PMCPMC7599507
OpenAlexW3092075749

What OpenQuestion holds

Textmetadata
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.