Mason, Rachel, Byerley, Joe, Baker, Andrea, Powell, Dylan, Pearson, Liam, Barry, Gill, Godfrey, Alan, Mancini, Martina, Stuart, Sam and Morris, Rosie (2022) Suitability of a low-cost wearable sensor to assess turning in healthy adults. Sensors, 22 (23). p. 9322. ISSN 1424-3210
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Abstract
Background: Turning is a complex measure of gait that accounts for over 50 of daily steps. Traditionally, turning has been measured in a research grade laboratory setting, however, there is demand for a low-cost and portable solution to measure turning using wearable technology. This study aimed to determine the suitability of a low-cost inertial sensor-based device (AX6, Axivity) to assess turning, by simultaneously capturing and comparing to a turn algorithm output from a previously validated reference inertial sensor-based device (Opal), in healthy young adults. Methodology: Thirty participants (aged 23.9 ± 4.89 years) completed the following turning protocol wearing the AX6 and reference device: a turn course, a two-minute walk (including 180° turns) and turning in place, alternating 360° turn right and left. Both devices were attached at the lumbar spine, one Opal via a belt, and the AX6 via double sided tape attached directly to the skin. Turning measures included number of turns, average turn duration, angle, velocity, and jerk. Results: Agreement between the outcomes from the AX6 and reference device was good to excellent for all turn characteristics (all ICCs > 0.850) during the turning 360° task. There was good agreement for all turn characteristics (all ICCs > 0.800) during the two-minute walk task, except for moderate agreement for turn angle (ICC 0.683). Agreement for turn outcomes was moderate to good during the turns course (ICCs range; 0.580 to 0.870). Conclusions: A low-cost wearable sensor, AX6, can be a suitable and fit-for-purpose device when used with validated algorithms for assessment of turning outcomes, particularly during continuous turning tasks. Future work needs to determine the suitability and validity of turning in aging and clinical cohorts within low-resource settings
Item Type: | Article |
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Additional Information: | Funding information: This study was funded by grants from the Private Physiotherapy Educational Foundation (A1 grant scheme; PI: Morris, PI: Stuart, A2 grant scheme; PI: Powell) and a Northumbria University PhD studentship (PI: Godfrey). Additionally, work was supported by a Northumbria University collaborative PhD studentship with DANU Sport (PI: Stuart) and, in part, by the Parkinson’s Foundation (PF-FBS-1898, PF-CRA-2073) (PI: Stuart). |
Uncontrolled Keywords: | inertial sensors, turning, validation, wearables |
Subjects: | C600 Sports Science G600 Software Engineering |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences Faculties > Health and Life Sciences > Sport, Exercise and Rehabilitation |
Depositing User: | John Coen |
Date Deposited: | 30 Nov 2022 08:47 |
Last Modified: | 30 Nov 2022 09:00 |
URI: | https://nrl.northumbria.ac.uk/id/eprint/50766 |
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