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

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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; 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; on behalf of the RADAR-CNS consortium.

In: Sensors, Vol. 23, No. 13, 6017, 2023.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kontaxis, S, Laporta, E, Garcia, E, Martinis, M, Leocani, L, Roselli, L, Buron, MD, Guerrero, AI, Zabala, A, Cummins, N, Vairavan, S, Hotopf, M, Dobson, RJB, Narayan, VA, La Porta, ML, Costa, GD, Magyari, M, Sørensen, PS, Nos, C, Bailon, R, Comi, G & on behalf of the RADAR-CNS consortium 2023, 'Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis', Sensors, vol. 23, no. 13, 6017. https://doi.org/10.3390/s23136017

APA

Kontaxis, S., Laporta, E., Garcia, E., Martinis, M., Leocani, L., Roselli, L., Buron, M. D., Guerrero, A. I., Zabala, A., Cummins, N., Vairavan, S., Hotopf, M., Dobson, R. J. B., Narayan, V. A., La Porta, M. L., Costa, G. D., Magyari, M., Sørensen, P. S., Nos, C., ... on behalf of the RADAR-CNS consortium (2023). Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. Sensors, 23(13), [6017]. https://doi.org/10.3390/s23136017

Vancouver

Kontaxis S, Laporta E, Garcia E, Martinis M, Leocani L, Roselli L et al. Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. Sensors. 2023;23(13). 6017. https://doi.org/10.3390/s23136017

Author

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 ; on behalf of the RADAR-CNS consortium. / Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis. In: Sensors. 2023 ; Vol. 23, No. 13.

Bibtex

@article{685ba75d01e14cb1bc381b52caa33eba,
title = "Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis",
abstract = "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.",
keywords = "accelerometer sensor, disability level, fatigue severity, walk tests, wearable device",
author = "Spyridon Kontaxis and Estela Laporta and Esther Garcia and Matteo Martinis and Letizia Leocani and Lucia Roselli and Buron, {Mathias Due} and Guerrero, {Ana Isabel} and Ana Zabala and Nicholas Cummins and Srinivasan Vairavan and Matthew Hotopf and Dobson, {Richard J.B.} and Narayan, {Vaibhav A.} and {La Porta}, {Maria Libera} and Costa, {Gloria Dalla} and Melinda Magyari and S{\o}rensen, {Per Soelberg} and Carlos Nos and Raquel Bailon and Giancarlo Comi and {on behalf of the RADAR-CNS consortium}",
note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",
year = "2023",
doi = "10.3390/s23136017",
language = "English",
volume = "23",
journal = "Sensors",
issn = "1424-3210",
publisher = "M D P I AG",
number = "13",

}

RIS

TY - JOUR

T1 - Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis

AU - Kontaxis, Spyridon

AU - Laporta, Estela

AU - Garcia, Esther

AU - Martinis, Matteo

AU - Leocani, Letizia

AU - Roselli, Lucia

AU - Buron, Mathias Due

AU - Guerrero, Ana Isabel

AU - Zabala, Ana

AU - Cummins, Nicholas

AU - Vairavan, Srinivasan

AU - Hotopf, Matthew

AU - Dobson, Richard J.B.

AU - Narayan, Vaibhav A.

AU - La Porta, Maria Libera

AU - Costa, Gloria Dalla

AU - Magyari, Melinda

AU - Sørensen, Per Soelberg

AU - Nos, Carlos

AU - Bailon, Raquel

AU - Comi, Giancarlo

AU - on behalf of the RADAR-CNS consortium

N1 - Publisher Copyright: © 2023 by the authors.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - accelerometer sensor

KW - disability level

KW - fatigue severity

KW - walk tests

KW - wearable device

U2 - 10.3390/s23136017

DO - 10.3390/s23136017

M3 - Journal article

C2 - 37447866

AN - SCOPUS:85164845151

VL - 23

JO - Sensors

JF - Sensors

SN - 1424-3210

IS - 13

M1 - 6017

ER -

ID: 396928718