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A lightweight wheelchair propulsion dynamometer for improving user energy efficiency and mobility

Taylor, S; Symonds, A; Gorjon, J; Smitham, P; Holloway, C; (2019) A lightweight wheelchair propulsion dynamometer for improving user energy efficiency and mobility. In: Nait-ali, Amine and Dorizzi, Bernadette, (eds.) Proceedings of the 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART 2019)). IEEE Xplore: New York, USA. Green open access

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Abstract

The population of manual wheelchair users is growing; the vast majority of users are due to spinal cord injury, often presenting in young adults. Propulsion forces must be produced by the upper body only; such repetitive forces impact the shoulder and elbow joints, leading to long term pain and injury. This also has an effect on mobility, with consequential socio-economic implications. Training in the style of propulsion, especially from an early age, may lead to more efficient propulsion and reduced injury and pain. To measure the forces of propulsion and calculate energy expenditure, the connecting pins between a wheelchair pushrim and drivewheel were replaced with three multi-axis load cells able to measure the real time forces due to pushing. This paper reports the development of the Sensewheel Mk1 propulsion dynamometer: concept, load cell design and modelling, strain gauging and instrumentation, assembly, calibration and sample recorded data.

Type: Proceedings paper
Title: A lightweight wheelchair propulsion dynamometer for improving user energy efficiency and mobility
Event: 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART 2019), 24-26 April 2019, Paris, France
ISBN-13: 978-1-7281-3579-3
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/BIOSMART.2019.8734235
Publisher version: https://doi.org/10.1109/BIOSMART.2019.8734235
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Propulsion, Load modeling, Data models, Instruments, Wheelchairs, Pain
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10077820
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