Estimation of maximum shoulder and elbow joint torques based on demographics and anthropometrics

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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.funderScience Foundation Irelanden
dc.date.accessioned2023-12-22T12:08:37Z
dc.date.available2023-12-22T12:08:37Z
dc.date.issued2022en
dc.description.abstractRepetitive movements that involve a significant shift of the body's center of mass can lead to shoulder and elbow fatigue, which are linked to injury and musculoskeletal disorders if not addressed in time. Research has been conducted on the joint torque individuals can produce, a quantity that indicates the ability of the person to carry out such repetitive movements. Most of the studies surround gait analysis, rehabilitation, the assessment of athletic performance, and robotics. The aim of this study is to develop a model that estimates the maximum shoulder and elbow joint torque an individual can produce based on anthropometrics and demographics without taking a manual measurement with a force gauge (dynamometer). Nineteen subjects took part in the study which recorded maximum shoulder and elbow joint torques using a dynamometer. Sex, age, body composition parameters, and anthropometric data were recorded, and relevant parameters which significantly contributed to joint torque were identified using regression techniques. Of the parameters measured, body mass index and upper forearm volume predominantly contribute to maximum torque for shoulder and elbow joints; coefficient of determination values were between 0.6 and 0.7 for the independent variables and were significant for maximum shoulder joint torque (P<0.001) and maximum elbow joint torque (P<0.005) models. Two expressions illustrated the impact of the relevant independent variables on maximum shoulder joint torque and maximum elbow joint torque, using multiple linear regression. Coefficient of determination values for the models were between 0.6 and 0.7. The models developed enable joint torque estimation for individuals using measurements that are quick and easy to acquire, without the use of a dynamometer. This information is useful for those employing joint torque data in biomechanics in the areas of health, rehabilitation, ergonomics, occupational safety, and robotics.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationO’Sullivan, P., Menolotto, M., O’Flynn, B. and Komaris, D.S. (2022) ‘Estimation of maximum shoulder and elbow joint torques based on demographics and anthropometrics’, in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Glasgow, Scotland, United Kingdom: IEEE, pp. 4346–4349. Available at: https://doi.org/10.1109/EMBC48229.2022.9870906en
dc.identifier.doi10.1109/embc48229.2022.9870906en
dc.identifier.endpage4349en
dc.identifier.isbn978-1-7281-2782-8en
dc.identifier.issn2694-0604en
dc.identifier.startpage4346en
dc.identifier.urihttps://hdl.handle.net/10468/15334
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartof2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 1/16/RC/3918/IE/Confirm Centre for Smart Manufacturing/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.rights© 2022. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMusculoskeletal systemen
dc.subjectTorqueen
dc.subjectOccupational safetyen
dc.subjectBiological system modelingen
dc.subjectVolume measurementen
dc.subjectShoulderen
dc.subjectEstimationen
dc.subjectDemographyen
dc.subjectElbow Jointen
dc.subjectHumansen
dc.subjectMovementen
dc.subjectMusculoskeletal Diseasesen
dc.subjectShoulderen
dc.subjectTorqueen
dc.titleEstimation of maximum shoulder and elbow joint torques based on demographics and anthropometricsen
dc.typeConference itemen
dc.typeproceedings-articleen
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