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Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study
[Purpose] To assess if the instrumented Timed Up and Go (iTUG) task score calculated with an iPhone application can detect gait changes under dual-tasking conditions. [Participants and Methods] Twenty participants (age 38.30 ± 12.54, 12 females) were asked to complete the TUG as a single task and un...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society of Physical Therapy Science
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860690/ https://www.ncbi.nlm.nih.gov/pubmed/35221514 http://dx.doi.org/10.1589/jpts.34.115 |
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author | Almajid, Rania Goel, Rahul |
author_facet | Almajid, Rania Goel, Rahul |
author_sort | Almajid, Rania |
collection | PubMed |
description | [Purpose] To assess if the instrumented Timed Up and Go (iTUG) task score calculated with an iPhone application can detect gait changes under dual-tasking conditions. [Participants and Methods] Twenty participants (age 38.30 ± 12.54, 12 females) were asked to complete the TUG as a single task and under two dual-tasking conditions: 1) verbal fluency and 2) mental calculation. We used a smartphone, stopwatch, digital camera, and wearable sensor to calculate the dependent variables which included time, step count, gait speed, and iTUG score and, the dual-tasking cost (DTC) of those variables. We used Friedman analyses of variance and Wilcoxon tests for statistical analyses. [Results] the iTUG score, step count, gait speed, and the time measured by the stopwatch and wearable sensor differed significantly for all tasks, but the smartphone time did not. [Conclusion] We conclude that the iTUG score could be used as a sensitive measure for identifying gait changes under dual-tasking conditions. With the growing demands of telehealth, using technology as an objective tool for movement analysis is needed for clinicians and payers. Our findings demonstrate the potential value of the iTUG score to assess and track patient’s progress. |
format | Online Article Text |
id | pubmed-8860690 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Society of Physical Therapy Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88606902022-02-24 Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study Almajid, Rania Goel, Rahul J Phys Ther Sci Original Article [Purpose] To assess if the instrumented Timed Up and Go (iTUG) task score calculated with an iPhone application can detect gait changes under dual-tasking conditions. [Participants and Methods] Twenty participants (age 38.30 ± 12.54, 12 females) were asked to complete the TUG as a single task and under two dual-tasking conditions: 1) verbal fluency and 2) mental calculation. We used a smartphone, stopwatch, digital camera, and wearable sensor to calculate the dependent variables which included time, step count, gait speed, and iTUG score and, the dual-tasking cost (DTC) of those variables. We used Friedman analyses of variance and Wilcoxon tests for statistical analyses. [Results] the iTUG score, step count, gait speed, and the time measured by the stopwatch and wearable sensor differed significantly for all tasks, but the smartphone time did not. [Conclusion] We conclude that the iTUG score could be used as a sensitive measure for identifying gait changes under dual-tasking conditions. With the growing demands of telehealth, using technology as an objective tool for movement analysis is needed for clinicians and payers. Our findings demonstrate the potential value of the iTUG score to assess and track patient’s progress. The Society of Physical Therapy Science 2022-02-23 2022-02 /pmc/articles/PMC8860690/ /pubmed/35221514 http://dx.doi.org/10.1589/jpts.34.115 Text en 2022©by the Society of Physical Therapy Science. Published by IPEC Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article Almajid, Rania Goel, Rahul Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title | Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title_full | Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title_fullStr | Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title_full_unstemmed | Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title_short | Assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
title_sort | assessment of dual-tasking during a dynamic balance task using a smartphone app: a pilot study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8860690/ https://www.ncbi.nlm.nih.gov/pubmed/35221514 http://dx.doi.org/10.1589/jpts.34.115 |
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