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: Article (Published version)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2025-10-17-14:20:04)


Visitas y descargas

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



 Record created 2025-02-21, last modified 2025-10-17


Versión publicada:
 PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)