Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis
Kontaxis, Spyridon (Universidad de Zaragoza)
Laporta, Estela (Universidad de Zaragoza)
Garcia, Esther (Universitat Autònoma de Barcelona. Departament de Microelectrònica i Sistemes Electrònics)
Martinis, Matteo (University Vita-Salute and Hospital San Raffaele)
Leocani, Letizia (University Vita-Salute and Hospital San Raffaele)
Roselli, Lucia (University Vita-Salute and Hospital San Raffaele)
Buron, Mathias Due (Copenhagen University Hospital Rigshospitalet)
Guerrero, Ana Isabel (Hospital Universitari Vall d'Hebron)
Zabalza, Ana (Hospital Universitari Vall d'Hebron)
Cummins, Nicholas (King's College London)
Vairavan, Srinivasan (Janssen Research and Development)
Hotopf, Matthew (King's College London)
Dobson, Richard J. B. (University College London)
Narayan, Vaibhav A. (Davos Alzheimer's Collaborative)
La Porta, Maria Libera (University Vita-Salute and Hospital San Raffaele)
Costa, Gloria Dalla (University Vita-Salute and Hospital San Raffaele)
Magyari, Melinda (Copenhagen University Hospital Rigshospitalet)
Sørensen, Per Soelberg (Copenhagen University Hospital Rigshospitalet)
Nos, Carlos (Hospital Universitari Vall d'Hebron)
Bailón, Raquel (Universidad de Zaragoza)
Comi, Giancarlo (Casa di Cura del Policlinico (Milà, Itàlia))

Fecha:	2023
Resumen:	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.
Derechos:	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.
Lengua:	Anglès
Documento:	Article ; recerca ; Versió publicada
Materia:	Accelerometer sensor ; Disability level ; Fatigue severity ; Walk tests ; Wearable device
Publicado en:	Sensors (Basel, Switzerland), Vol. 23 (june 2023) , ISSN 1424-8220

DOI: 10.3390/s23136017
PMID: 37447866

11 p, 732.4 KB

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