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Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device

Exercise testing to assess the response to physical rehabilitation or lifestyle interventions is administered in clinics thus at best can be repeated only few times a year. This study explores a novel approach to collecting information on functional performance through walk tests, e.g., a 6-min walk...

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Autores principales: Sokas, Daivaras, Paliakaitė, Birutė, Rapalis, Andrius, Marozas, Vaidotas, Bailón, Raquel, Petrėnas, Andrius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397518/
https://www.ncbi.nlm.nih.gov/pubmed/34456748
http://dx.doi.org/10.3389/fphys.2021.706545
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author Sokas, Daivaras
Paliakaitė, Birutė
Rapalis, Andrius
Marozas, Vaidotas
Bailón, Raquel
Petrėnas, Andrius
author_facet Sokas, Daivaras
Paliakaitė, Birutė
Rapalis, Andrius
Marozas, Vaidotas
Bailón, Raquel
Petrėnas, Andrius
author_sort Sokas, Daivaras
collection PubMed
description Exercise testing to assess the response to physical rehabilitation or lifestyle interventions is administered in clinics thus at best can be repeated only few times a year. This study explores a novel approach to collecting information on functional performance through walk tests, e.g., a 6-min walk test (6MWT), unintentionally performed in free-living activities. Walk tests are detected in step data provided by a wrist-worn device. Only those events of minute-to-minute variation in walking cadence, which is equal or lower than the empirically determined maximal SD (e.g., 5-steps), are considered as walk test candidates. Out of detected walk tests within the non-overlapping sliding time interval (e.g., 1-week), the one with the largest number of steps is chosen as the most representative. This approach is studied on a cohort of 99 subjects, assigned to the groups of patients with cardiovascular disease (CVD) and healthy subjects below and over 40-years-old, who were asked to wear the device while maintaining their usual physical activity regimen. The total wear time was 8,864 subject-days after excluding the intervals of occasionally discontinued monitoring. About 82% (23/28) of patients with CVD and 88% (21/24) of healthy subjects over 40-years-old had at least a single 6MWT over the 1st month of monitoring. About 52% of patients with CVD (12/23) and 91% (19/21) of healthy subjects over 40-years-old exceeded 500 m. Patients with CVD, on average, walked 46 m shorter 6MWT distance (p = 0.04) compared to healthy subjects. Unintentional walk testing is feasible and could be valuable for repeated assessment of functional performance outside the clinical setting.
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spelling pubmed-83975182021-08-28 Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device Sokas, Daivaras Paliakaitė, Birutė Rapalis, Andrius Marozas, Vaidotas Bailón, Raquel Petrėnas, Andrius Front Physiol Physiology Exercise testing to assess the response to physical rehabilitation or lifestyle interventions is administered in clinics thus at best can be repeated only few times a year. This study explores a novel approach to collecting information on functional performance through walk tests, e.g., a 6-min walk test (6MWT), unintentionally performed in free-living activities. Walk tests are detected in step data provided by a wrist-worn device. Only those events of minute-to-minute variation in walking cadence, which is equal or lower than the empirically determined maximal SD (e.g., 5-steps), are considered as walk test candidates. Out of detected walk tests within the non-overlapping sliding time interval (e.g., 1-week), the one with the largest number of steps is chosen as the most representative. This approach is studied on a cohort of 99 subjects, assigned to the groups of patients with cardiovascular disease (CVD) and healthy subjects below and over 40-years-old, who were asked to wear the device while maintaining their usual physical activity regimen. The total wear time was 8,864 subject-days after excluding the intervals of occasionally discontinued monitoring. About 82% (23/28) of patients with CVD and 88% (21/24) of healthy subjects over 40-years-old had at least a single 6MWT over the 1st month of monitoring. About 52% of patients with CVD (12/23) and 91% (19/21) of healthy subjects over 40-years-old exceeded 500 m. Patients with CVD, on average, walked 46 m shorter 6MWT distance (p = 0.04) compared to healthy subjects. Unintentional walk testing is feasible and could be valuable for repeated assessment of functional performance outside the clinical setting. Frontiers Media S.A. 2021-08-12 /pmc/articles/PMC8397518/ /pubmed/34456748 http://dx.doi.org/10.3389/fphys.2021.706545 Text en Copyright © 2021 Sokas, Paliakaitė, Rapalis, Marozas, Bailón and Petrėnas. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Sokas, Daivaras
Paliakaitė, Birutė
Rapalis, Andrius
Marozas, Vaidotas
Bailón, Raquel
Petrėnas, Andrius
Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title_full Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title_fullStr Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title_full_unstemmed Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title_short Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
title_sort detection of walk tests in free-living activities using a wrist-worn device
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8397518/
https://www.ncbi.nlm.nih.gov/pubmed/34456748
http://dx.doi.org/10.3389/fphys.2021.706545
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