2026-04-17T05:21:10Zhttps://recercat.cat/oai/request

oai:recercat.cat:2072/4714942025-02-03T22:58:32Zcom_2072_98col_2072_378192

urn:hdl:2072/471494 Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis Kontaxis, Spyridon Laporta, Estela Garcia, Esther Martinis, Matteo Leocani, Letizia Roselli, Lucia Buron, Mathias Due Guerrero, Ana Isabel Zabalza, Ana Cummins, Nicholas Vairavan, Srinivasan Hotopf, Matthew Dobson, Richard James Butler Narayan, Vaibhav A. La Porta, Maria Libera Costa, Gloria Dalla Magyari, Melinda Sørensen, Per S Nos, Carlos Bailón, Raquel Comi, Giancarlo Accelerometer sensor Disability level Fatigue severity Walk tests Wearable device The aim of this study was to investigate the feasibility of automatically assessing the 2-Minute Walk Distance (2MWD) for monitoring people with multiple sclerosis (pwMS). For 154 pwMS, MS-related clinical outcomes as well as the 2MWDs as evaluated by clinicians and derived from accelerometer data were collected from a total of 323 periodic clinical visits. Accelerometer data from a wearable device during 100 home-based 2MWD assessments were also acquired. The error in estimating the 2MWD was validated for walk tests performed at hospital, and then the correlation (r) between clinical outcomes and home-based 2MWD assessments was evaluated. Robust performance in estimating the 2MWD from the wearable device was obtained, yielding an error of less than 10% in about two-thirds of clinical visits. Correlation analysis showed that there is a strong association between the actual and the estimated 2MWD obtained either at hospital (r = 0.71) or at home (r = 0.58). Furthermore, the estimated 2MWD exhibits moderate-to-strong correlation with various MS-related clinical outcomes, including disability and fatigue severity scores. Automatic assessment of the 2MWD in pwMS is feasible with the usage of a consumer-friendly wearable device in clinical and non-clinical settings. Wearable devices can also enhance the assessment of MS-related clinical outcomes. 2023 Article Sensors (Basel, Switzerland) ; Vol. 23 (june 2023) open access Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. https://creativecommons.org/licenses/by/4.0/