Detection of Walk Tests in Free-Living Activities Using a Wrist-Worn Device
Resumen: 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. © Copyright © 2021 Sokas, Paliakaite, Rapalis, Marozas, Bailón and Petrenas.
Idioma: Inglés
DOI: 10.3389/fphys.2021.706545
Año: 2021
Publicado en: Frontiers in physiology 12 (2021), 706545 [13 pp.]
ISSN: 1664-042X

Factor impacto JCR: 4.755 (2021)
Categ. JCR: PHYSIOLOGY rank: 20 / 81 = 0.247 (2021) - Q1 - T1
Factor impacto CITESCORE: 6.6 - Medicine (Q1) - Biochemistry, Genetics and Molecular Biology (Q2)

Factor impacto SCIMAGO: 1.126 - Physiology (medical) (Q1) - Physiology (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00
Tipo y forma: Artículo (Versión definitiva)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

Creative Commons Debe reconocer adecuadamente la autoría, proporcionar un enlace a la licencia e indicar si se han realizado cambios. Puede hacerlo de cualquier manera razonable, pero no de una manera que sugiera que tiene el apoyo del licenciador o lo recibe por el uso que hace.


Exportado de SIDERAL (2025-02-21-09:52:31)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Artículos > Artículos por área > Teoría de la Señal y Comunicaciones



 Registro creado el 2025-02-21, última modificación el 2025-02-21


Versión publicada:
 PDF
Valore este documento:

Rate this document:
1
2
3
 
(Sin ninguna reseña)