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Real-Life Wheelchair Mobility Metrics from IMUs

Daily wheelchair ambulation is seen as a risk factor for shoulder problems, which are prevalent in manual wheelchair users. To examine the long-term effect of shoulder load from daily wheelchair ambulation on shoulder problems, quantification is required in real-life settings. In this study, we desc...

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Autores principales: de Vries, Wiebe H. K., van der Slikke, Rienk M. A., van Dijk, Marit P., Arnet, Ursina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458841/
https://www.ncbi.nlm.nih.gov/pubmed/37631711
http://dx.doi.org/10.3390/s23167174
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author de Vries, Wiebe H. K.
van der Slikke, Rienk M. A.
van Dijk, Marit P.
Arnet, Ursina
author_facet de Vries, Wiebe H. K.
van der Slikke, Rienk M. A.
van Dijk, Marit P.
Arnet, Ursina
author_sort de Vries, Wiebe H. K.
collection PubMed
description Daily wheelchair ambulation is seen as a risk factor for shoulder problems, which are prevalent in manual wheelchair users. To examine the long-term effect of shoulder load from daily wheelchair ambulation on shoulder problems, quantification is required in real-life settings. In this study, we describe and validate a comprehensive and unobtrusive methodology to derive clinically relevant wheelchair mobility metrics (WCMMs) from inertial measurement systems (IMUs) placed on the wheelchair frame and wheel in real-life settings. The set of WCMMs includes distance covered by the wheelchair, linear velocity of the wheelchair, number and duration of pushes, number and magnitude of turns and inclination of the wheelchair when on a slope. Data are collected from ten able-bodied participants, trained in wheelchair-related activities, who followed a 40 min course over the campus. The IMU-derived WCMMs are validated against accepted reference methods such as Smartwheel and video analysis. Intraclass correlation (ICC) is applied to test the reliability of the IMU method. IMU-derived push duration appeared to be less comparable with Smartwheel estimates, as it measures the effect of all energy applied to the wheelchair (including thorax and upper extremity movements), whereas the Smartwheel only measures forces and torques applied by the hand at the rim. All other WCMMs can be reliably estimated from real-life IMU data, with small errors and high ICCs, which opens the way to further examine real-life behavior in wheelchair ambulation with respect to shoulder loading. Moreover, WCMMs can be applied to other applications, including health tracking for individual interest or in therapy settings.
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spelling pubmed-104588412023-08-27 Real-Life Wheelchair Mobility Metrics from IMUs de Vries, Wiebe H. K. van der Slikke, Rienk M. A. van Dijk, Marit P. Arnet, Ursina Sensors (Basel) Article Daily wheelchair ambulation is seen as a risk factor for shoulder problems, which are prevalent in manual wheelchair users. To examine the long-term effect of shoulder load from daily wheelchair ambulation on shoulder problems, quantification is required in real-life settings. In this study, we describe and validate a comprehensive and unobtrusive methodology to derive clinically relevant wheelchair mobility metrics (WCMMs) from inertial measurement systems (IMUs) placed on the wheelchair frame and wheel in real-life settings. The set of WCMMs includes distance covered by the wheelchair, linear velocity of the wheelchair, number and duration of pushes, number and magnitude of turns and inclination of the wheelchair when on a slope. Data are collected from ten able-bodied participants, trained in wheelchair-related activities, who followed a 40 min course over the campus. The IMU-derived WCMMs are validated against accepted reference methods such as Smartwheel and video analysis. Intraclass correlation (ICC) is applied to test the reliability of the IMU method. IMU-derived push duration appeared to be less comparable with Smartwheel estimates, as it measures the effect of all energy applied to the wheelchair (including thorax and upper extremity movements), whereas the Smartwheel only measures forces and torques applied by the hand at the rim. All other WCMMs can be reliably estimated from real-life IMU data, with small errors and high ICCs, which opens the way to further examine real-life behavior in wheelchair ambulation with respect to shoulder loading. Moreover, WCMMs can be applied to other applications, including health tracking for individual interest or in therapy settings. MDPI 2023-08-14 /pmc/articles/PMC10458841/ /pubmed/37631711 http://dx.doi.org/10.3390/s23167174 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Vries, Wiebe H. K.
van der Slikke, Rienk M. A.
van Dijk, Marit P.
Arnet, Ursina
Real-Life Wheelchair Mobility Metrics from IMUs
title Real-Life Wheelchair Mobility Metrics from IMUs
title_full Real-Life Wheelchair Mobility Metrics from IMUs
title_fullStr Real-Life Wheelchair Mobility Metrics from IMUs
title_full_unstemmed Real-Life Wheelchair Mobility Metrics from IMUs
title_short Real-Life Wheelchair Mobility Metrics from IMUs
title_sort real-life wheelchair mobility metrics from imus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458841/
https://www.ncbi.nlm.nih.gov/pubmed/37631711
http://dx.doi.org/10.3390/s23167174
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