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Validation of a smartphone application and wearable sensor for measurements of wrist motions

We developed a smartphone application to measure wrist motion using the mobile device’s built-in motion sensors or connecting it via Bluetooth to a wearable sensor. Measurement of wrist motion with this method was assessed in 33 participants on two occasions and compared with those obtained with a s...

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Detalles Bibliográficos
Autores principales: Engstrand, Fredrik, Tesselaar, Erik, Gestblom, Rickard, Farnebo, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649412/
https://www.ncbi.nlm.nih.gov/pubmed/33874816
http://dx.doi.org/10.1177/17531934211004454
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author Engstrand, Fredrik
Tesselaar, Erik
Gestblom, Rickard
Farnebo, Simon
author_facet Engstrand, Fredrik
Tesselaar, Erik
Gestblom, Rickard
Farnebo, Simon
author_sort Engstrand, Fredrik
collection PubMed
description We developed a smartphone application to measure wrist motion using the mobile device’s built-in motion sensors or connecting it via Bluetooth to a wearable sensor. Measurement of wrist motion with this method was assessed in 33 participants on two occasions and compared with those obtained with a standard goniometer. The test–retest reproducibility in healthy individuals ranged from good to excellent (intraclass correlation (ICC) 0.76–0.95) for all motions, both with and without the wearable sensor. These results improved to excellent (ICC 0.90–0.96) on the second test day, suggesting a learning effect. The day-to-day reproducibility was overall better with the wearable sensor (mean ICC 0.87) compared with the application without using sensor or goniometer (mean ICC 0.82 and 0.60, respectively). This study suggests that smartphone-based measurements of wrist range of motion are feasible and highly accurate, making it a powerful tool for outcome studies after wrist surgery.
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spelling pubmed-86494122021-12-08 Validation of a smartphone application and wearable sensor for measurements of wrist motions Engstrand, Fredrik Tesselaar, Erik Gestblom, Rickard Farnebo, Simon J Hand Surg Eur Vol Full Length Articles We developed a smartphone application to measure wrist motion using the mobile device’s built-in motion sensors or connecting it via Bluetooth to a wearable sensor. Measurement of wrist motion with this method was assessed in 33 participants on two occasions and compared with those obtained with a standard goniometer. The test–retest reproducibility in healthy individuals ranged from good to excellent (intraclass correlation (ICC) 0.76–0.95) for all motions, both with and without the wearable sensor. These results improved to excellent (ICC 0.90–0.96) on the second test day, suggesting a learning effect. The day-to-day reproducibility was overall better with the wearable sensor (mean ICC 0.87) compared with the application without using sensor or goniometer (mean ICC 0.82 and 0.60, respectively). This study suggests that smartphone-based measurements of wrist range of motion are feasible and highly accurate, making it a powerful tool for outcome studies after wrist surgery. SAGE Publications 2021-04-19 2021-12 /pmc/articles/PMC8649412/ /pubmed/33874816 http://dx.doi.org/10.1177/17531934211004454 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Full Length Articles
Engstrand, Fredrik
Tesselaar, Erik
Gestblom, Rickard
Farnebo, Simon
Validation of a smartphone application and wearable sensor for measurements of wrist motions
title Validation of a smartphone application and wearable sensor for measurements of wrist motions
title_full Validation of a smartphone application and wearable sensor for measurements of wrist motions
title_fullStr Validation of a smartphone application and wearable sensor for measurements of wrist motions
title_full_unstemmed Validation of a smartphone application and wearable sensor for measurements of wrist motions
title_short Validation of a smartphone application and wearable sensor for measurements of wrist motions
title_sort validation of a smartphone application and wearable sensor for measurements of wrist motions
topic Full Length Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8649412/
https://www.ncbi.nlm.nih.gov/pubmed/33874816
http://dx.doi.org/10.1177/17531934211004454
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