Impact of upper body anthropometrics on spatiotemporal parameters during manual wheelchair propulsion in able-bodied users

Lafta Mossa, Hassanain Ali, Whatling, Gemma ORCID: https://orcid.org/0000-0001-6912-9580 and Holt, Cathy ORCID: https://orcid.org/0000-0002-0428-8078 2020. Impact of upper body anthropometrics on spatiotemporal parameters during manual wheelchair propulsion in able-bodied users. Presented at: 5th IEEE Middle East and Africa Conference on Biomedical Engineering (MECBME 2020), Amman, Jordan, 27-29 October 2020. 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME). IEEE, pp. 1-5. 10.1109/MECBME47393.2020.9265122

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Abstract

for everyday manual wheelchair mobility, the stroking motion is a bilateral cyclic motion. Anthropometrics are still limited for the able-bodied population, but it is even scarcer in terms of the structural and functional characteristics of wheelchair users. A marker-based three-dimensional 3D motion analysis protocol was employed to investigate the interrelationship between manual users' upper body anthropometric characteristics and the biomechanics of wheelchair propulsion in terms of spatiotemporal parameters such as propulsion angles, time, velocity and stroke cadence. These outcomes have been analysed according to the anthropometrics of fifteen novice able-bodied male individuals using the same hand-rim wheelchair with their steady self-selected speed and propulsion pattern. The findings of this study indicated a significant correlation that quantified the association of the user's upper body anthropometrics with the biomechanical behaviour during the manual wheelchair mobility. This supports the initial hypothesis of varying anthropometric characteristics of the users affects potentially their propulsion biomechanics during manual wheelchair mobility. Such information could potentially provide a realistic guidance for designers and manufacturers to better optimize wheelchair prescription.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	IEEE
ISBN:	9781728123585
Last Modified:	27 Dec 2023 07:22
URI:	https://orca.cardiff.ac.uk/id/eprint/138369

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