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Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches

Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a convenient and low-cost method to monitor the natural behaviour of hospital patients. However, their accuracy at quantifying limb motion, and clinical acceptability, have not yet been demonstrated. To this end we conduc...

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Autores principales: Auepanwiriyakul, Chaiyawan, Waibel, Sigourney, Songa, Joanna, Bentley, Paul, Faisal, A. Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766923/
https://www.ncbi.nlm.nih.gov/pubmed/33352717
http://dx.doi.org/10.3390/s20247313
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author Auepanwiriyakul, Chaiyawan
Waibel, Sigourney
Songa, Joanna
Bentley, Paul
Faisal, A. Aldo
author_facet Auepanwiriyakul, Chaiyawan
Waibel, Sigourney
Songa, Joanna
Bentley, Paul
Faisal, A. Aldo
author_sort Auepanwiriyakul, Chaiyawan
collection PubMed
description Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a convenient and low-cost method to monitor the natural behaviour of hospital patients. However, their accuracy at quantifying limb motion, and clinical acceptability, have not yet been demonstrated. To this end we conducted a two-stage study: First, we compared the inertial accuracy of wrist-worn IMUs, both research-grade (Xsens MTw Awinda, and Axivity AX3) and consumer-grade (Apple Watch Series 3 and 5), and optical motion tracking (OptiTrack). Given the moderate to strong performance of the consumer-grade sensors, we then evaluated this sensor and surveyed the experiences and attitudes of hospital patients (N = 44) and staff (N = 15) following a clinical test in which patients wore smartwatches for 1.5–24 h in the second study. Results indicate that for acceleration, Xsens is more accurate than the Apple Series 5 and 3 smartwatches and Axivity AX3 (RMSE 1.66 ± 0.12 m·s(−2); R(2) 0.78 ± 0.02; RMSE 2.29 ± 0.09 m·s(−2); R(2) 0.56 ± 0.01; RMSE 2.14 ± 0.09 m·s(−2); R(2) 0.49 ± 0.02; RMSE 4.12 ± 0.18 m·s(−2); R(2) 0.34 ± 0.01 respectively). For angular velocity, Series 5 and 3 smartwatches achieved similar performances against Xsens with RMSE 0.22 ± 0.02 rad·s(−1); R(2) 0.99 ± 0.00; and RMSE 0.18 ± 0.01 rad·s(−1); R(2) 1.00± SE 0.00, respectively. Surveys indicated that in-patients and healthcare professionals strongly agreed that wearable motion sensors are easy to use, comfortable, unobtrusive, suitable for long-term use, and do not cause anxiety or limit daily activities. Our results suggest that consumer smartwatches achieved moderate to strong levels of accuracy compared to laboratory gold-standard and are acceptable for pervasive monitoring of motion/behaviour within hospital settings.
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spelling pubmed-77669232020-12-28 Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches Auepanwiriyakul, Chaiyawan Waibel, Sigourney Songa, Joanna Bentley, Paul Faisal, A. Aldo Sensors (Basel) Article Inertial Measurement Units (IMUs) within an everyday consumer smartwatch offer a convenient and low-cost method to monitor the natural behaviour of hospital patients. However, their accuracy at quantifying limb motion, and clinical acceptability, have not yet been demonstrated. To this end we conducted a two-stage study: First, we compared the inertial accuracy of wrist-worn IMUs, both research-grade (Xsens MTw Awinda, and Axivity AX3) and consumer-grade (Apple Watch Series 3 and 5), and optical motion tracking (OptiTrack). Given the moderate to strong performance of the consumer-grade sensors, we then evaluated this sensor and surveyed the experiences and attitudes of hospital patients (N = 44) and staff (N = 15) following a clinical test in which patients wore smartwatches for 1.5–24 h in the second study. Results indicate that for acceleration, Xsens is more accurate than the Apple Series 5 and 3 smartwatches and Axivity AX3 (RMSE 1.66 ± 0.12 m·s(−2); R(2) 0.78 ± 0.02; RMSE 2.29 ± 0.09 m·s(−2); R(2) 0.56 ± 0.01; RMSE 2.14 ± 0.09 m·s(−2); R(2) 0.49 ± 0.02; RMSE 4.12 ± 0.18 m·s(−2); R(2) 0.34 ± 0.01 respectively). For angular velocity, Series 5 and 3 smartwatches achieved similar performances against Xsens with RMSE 0.22 ± 0.02 rad·s(−1); R(2) 0.99 ± 0.00; and RMSE 0.18 ± 0.01 rad·s(−1); R(2) 1.00± SE 0.00, respectively. Surveys indicated that in-patients and healthcare professionals strongly agreed that wearable motion sensors are easy to use, comfortable, unobtrusive, suitable for long-term use, and do not cause anxiety or limit daily activities. Our results suggest that consumer smartwatches achieved moderate to strong levels of accuracy compared to laboratory gold-standard and are acceptable for pervasive monitoring of motion/behaviour within hospital settings. MDPI 2020-12-19 /pmc/articles/PMC7766923/ /pubmed/33352717 http://dx.doi.org/10.3390/s20247313 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Auepanwiriyakul, Chaiyawan
Waibel, Sigourney
Songa, Joanna
Bentley, Paul
Faisal, A. Aldo
Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title_full Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title_fullStr Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title_full_unstemmed Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title_short Accuracy and Acceptability of Wearable Motion Tracking for Inpatient Monitoring Using Smartwatches
title_sort accuracy and acceptability of wearable motion tracking for inpatient monitoring using smartwatches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766923/
https://www.ncbi.nlm.nih.gov/pubmed/33352717
http://dx.doi.org/10.3390/s20247313
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