Simulation study of typical auto-mechanics tasks

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dc.contributor.authorAbiola, Oluranti A.
dc.contributor.authorOlayinka, Oke A.
dc.contributor.authorKoya, Olufemi A.
dc.contributor.authorAdewole, Banji Z.
dc.date.accessioned2019-07-26T08:14:20Z
dc.date.available2019-07-26T08:14:20Z
dc.date.issued2016-07
dc.description.abstractThis study evaluates the heart rate of healthy non-mechanics handling predetermined loads, in postures typically used by roadside auto-mechanics during repair. The heart rate for different age groups and work postures of roadside auto-mechanics were determined from the assessment of healthy non-mechanics of the same age limit using a digital premium pressure monitor. Regressions were then developed to predict the heart rates of the auto-mechanics. The result indicated that load and posture adopted by roadside auto-mechanics, accounts for 2.74% and 4.51% of increase in their heart rate respectively, while age accounts for 65.78%. It further revealed that heart rate increases with age and load handled, and also showed that heart rate is highest in bending posture, followed by stooping. In conclusion the developed regression algorithms were sufficiently adequate in predicting the heart rate of roadside auto-mechanics and it also indicated that older roadside auto-mechanics need not engage in arduous tasks.en_US
dc.identifier.citationABIOLA, O. A., Adekola Olayinka, O. K. E., KOYA, O. A., & ADEWOLE, B. Z. (2016). Simulation study of typical auto-mechanics tasks. Leonardo Journal of Sciences, (29), 13-24.en_US
dc.identifier.issn1583-0233
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/handle/20.500.12398/416
dc.language.isoenen_US
dc.publisherLeonardo Journal of Sciencesen_US
dc.subjectHeart rateen_US
dc.subjectAgeen_US
dc.subjectPostureen_US
dc.subjectLoaden_US
dc.subjectAuto-mechanicen_US
dc.titleSimulation study of typical auto-mechanics tasksen_US
dc.typeArticleen_US
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