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Maximum acceptable work time for the upper limbs tasks and lower limbs tasks. Workload limits

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dc.creatorVelásquez V. J.C.spa
dc.creatorBriceño Ayala, Leonardospa
dc.creatorVelasquez B. D.M.spa
dc.creatorViña B. S.J.spa
dc.date.accessioned2020-05-26T00:05:49Z
dc.date.available2020-05-26T00:05:49Z
dc.date.created2019spa
dc.description.abstractIntroduction: The physical workload is a major occupational risk factor for workers. Currently the used methods to assess physical dynamic workload evaluate working with the whole body and do not discriminate the load of the body segments. Objective: Determine the maximum acceptable dynamic work time when the work is involves the whole body, the upper limbs and the lower limbs. Methods: Oxygen consumption measurement by ergospirometry and heart rate were monitored in 30 workers exposed to various loads executed with the whole body, legs and upper limbs. Anaerobic threshold was determined by respiratory quotient. This was used to calculate the acceptable dynamic work time. Results: Statistically significant differences were found between acceptable dynamic work time for upper limbs and lower limbs. Negative exponential correlation was found between the workload time, oxygen consumption and heart rate, so we found that R > 0.9 in all cases. We propose six regression equations to determine the acceptable dynamic work time. Conclusions: The acceptable dynamic work time for lower limbs and whole body is similar. The acceptable dynamic work time for upper limbs was significantly lower than acceptable dynamic whole body work time. The relative heart rate seems to be the best indicator to measure acceptable dynamic work time. © Springer Nature Switzerland AG 2019.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-319-96059-3_31
dc.identifier.issn21945357
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23830
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage290
dc.relation.citationStartPage282
dc.relation.citationTitleAdvances in Intelligent Systems and Computing
dc.relation.citationVolumeVol. 827
dc.relation.ispartofAdvances in Intelligent Systems and Computing, ISSN:21945357, Vol.827,(2019); pp. 282-290spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85051757449&doi=10.1007%2f978-3-319-96059-3_31&partnerID=40&md5=a4fcf9e2b8dfd18774666171d38c4154spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordBiological organsspa
dc.subject.keywordDynamicsspa
dc.subject.keywordHeartspa
dc.subject.keywordIndustrial hygienespa
dc.subject.keywordOccupational risksspa
dc.subject.keywordOxygenspa
dc.subject.keywordAnaerobic thresholdsspa
dc.subject.keywordNegative exponentialspa
dc.subject.keywordOccupational healthspa
dc.subject.keywordOxygen uptakespa
dc.subject.keywordRespiratory quotientsspa
dc.subject.keywordStatistically significant differencespa
dc.subject.keywordWork timespa
dc.subject.keywordWorkloadspa
dc.subject.keywordErgonomicsspa
dc.subject.keywordAcceptable work timespa
dc.subject.keywordOccupational healthspa
dc.subject.keywordOxygen uptakespa
dc.subject.keywordWorkloadspa
dc.titleMaximum acceptable work time for the upper limbs tasks and lower limbs tasks. Workload limitsspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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