Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis

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 w...

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Vydané v:Sensors (Basel, Switzerland) Ročník 23; číslo 13; s. 6017
Hlavní autori: Kontaxis, Spyridon, Laporta, Estela, Garcia, Esther, Martinis, Matteo, Leocani, Letizia, Roselli, Lucia, Buron, Mathias Due, Guerrero, Ana Isabel, Zabala, Ana, Cummins, Nicholas, Vairavan, Srinivasan, Hotopf, Matthew, Dobson, Richard J. B., Narayan, Vaibhav A., La Porta, Maria Libera, Costa, Gloria Dalla, Magyari, Melinda, Sørensen, Per Soelberg, Nos, Carlos, Bailon, Raquel, Comi, Giancarlo
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland MDPI AG 29.06.2023
MDPI
Predmet:
accelerometer sensor
Accelerometers
Analysis
Automation
Clinical outcomes
disability level
Disease
Fatigue
fatigue severity
Gait
Hospitals
Humans
Medical equipment
Multiple Sclerosis
Smartphones
Walk Test
walk tests
Walking
Wearable computers
wearable device
United Kingdom
Spain
wearable device
walk tests
disability level
fatigue severity
accelerometer sensor
ISSN:1424-8220, 1424-8220
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Shrnutí: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.
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Available online: www.radar-cns.org, accessed on 1 April 2023.
ISSN:1424-8220
1424-8220
DOI:10.3390/s23136017