Improving dynamic endurance time predictions for shoulder fatigue: A comparative evaluation

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dc.contributor.authorO'Sullivan, Patriciaen
dc.contributor.authorMenolotto, Matteoen
dc.contributor.authorO'Flynn, Brendanen
dc.contributor.authorKomaris, Dimitrios-Sokratisen
dc.contributor.funderResearch Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2025-02-28T11:51:09Z
dc.date.available2025-02-28T11:51:09Z
dc.date.issued2025-02-24en
dc.description.abstractWork-related musculoskeletal disorders (WMSDs) are commonplace in industry and a host of qualitative and quantitative approaches have been used to assuage the problem, including wearable sensors and biomechanical endurance models, both of which were used in the present study. Six endurance models (consumed endurance, new improved consumed endurance and the exponential and power Frey Law and Avin general and shoulder models) with four alternative maximum torque (Torquemax) quantification methods, including a novel approach to generate Torquemax, were compared. The proposed approach to quantify Torquemax, in combination with the new improved consumed endurance model produced the lowest root mean square errors (RMSE), and indicated improved performance compared to the literature. The mean RMSE was reduced from 41.08s to 19.11s for all subjects, from 26.13s to 12.16s for males, and 51.28s to 24.45s for females using the proposed method. R2 for 25% and 45% standardised intensity dynamic tasks were .459 and .314 respectively, P < .01. This research provided an optimised and individualised endurance prediction approach for loaded dynamic movements which can be applied to industry tasks and may lead to reduced upper-limb strains, and potentially WMSDs.en
dc.description.sponsorshipTaighde Éireann – Research Ireland (grant number 12/RC/2289-P2)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid104480en
dc.identifier.citationO'Sullivan, P., Menolotto, M., O'Flynn, B. and Komaris, D. S. (2025) 'Improving dynamic endurance time predictions for shoulder fatigue: A comparative evaluation', Applied Ergonomics, 125, p.104480 (11pp). https://doi.org/10.1016/j.apergo.2025.104480en
dc.identifier.doi10.1016/j.apergo.2025.104480en
dc.identifier.endpage11en
dc.identifier.issn0003-6870en
dc.identifier.journaltitleApplied Ergonomicsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17135
dc.identifier.volume125en
dc.language.isoenen
dc.publisherElsevier Ltd.en
dc.relation.ispartofApplied Ergonomicsen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/en
dc.rights© 2025, The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectUpper limben
dc.subjectPhysical fatigueen
dc.subjectInjury preventionen
dc.subjectOccupational health and safetyen
dc.titleImproving dynamic endurance time predictions for shoulder fatigue: A comparative evaluationen
dc.typeArticle (peer-reviewed)en
dc.typejournal-articleen
oaire.citation.volume125en
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