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Prescription methodology integrated with equipment designed for customising racing wheelchair
Thiago José Donegá1,2, Jonas Profeta Borges1,2, Sílvio Soares Dos Santos1,2
1Department of Mechanical Engineering, Federal University of Uberlandia, Uberlandia, Brazil.
Background:
Wheelchair racing is a traditional modality of Paralympic athletics. In general, racing wheelchairs are customized according to the athletes' anthropometric conditions, based on pre-established dimensions according to the manufacturer's manual. Usually, athletes choose the dimensions for their new sports wheelchairs, and when they are delivered for use, they often have problems due to incorrect body adjustments.
Purpose:
To develop a new customization methodology that is made possible through a new multi-adjustable racing wheelchair prescription equipment (RWPE) for athletics. This equipment performs several measurements and adjustments according to the athlete's anthropometric characteristics, evaluating the best-fit athlete to obtain better performance in the personalized wheelchair.
Materials And Methods:
Customizing racing wheelchairs is based on anthropometric measurements of the individual and specific ergonomic adjustments for better performance and safety. The RWPE is a multi-adjustment device composed of modules that use measuring instruments to guarantee maximum precision and accuracy of the assessments. This project's innovation is associated with the multi-regulation equipment itself and a conventional process of manufacturing a racing wheelchair through an online form. The RWPE has a robust and rigid structure for conducting race-track experimental tests.
Results And Conclusions:
The experimental tests allowed the equipment to be validated regarding safety, comfort, and prescription methodology. A high-performance athlete validated the equipment and prescription methodology, and as a result, a new version of a parameterized wheelchair was also developed using the prescription methodology. A comparison between prescription tests showed better athlete performance regarding estimated average power, considering dimensions optimized through RWPE.
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