Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis

<h4>Objective</h4> To determine the concordance and statistical precision in gait velocity in people with multiple sclerosis (pwMS), measured with FeetMe® (insoles with pressure and motion sensors) compared with GAITRite® (classic reference system of gait analysis) in the timed 25-Feet W...

Full description

Bibliographic Details
Main Authors: Anabel Granja Domínguez, Raúl Romero Sevilla, Aurora Alemán, Carmen Durán, Anja Hochsprung, Guillermo Navarro, Cristina Páramo, Ana Venegas, Ana Lladonosa, Guillermo Izquierdo Ayuso
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910712/?tool=EBI
_version_ 1811166106464813056
author Anabel Granja Domínguez
Raúl Romero Sevilla
Aurora Alemán
Carmen Durán
Anja Hochsprung
Guillermo Navarro
Cristina Páramo
Ana Venegas
Ana Lladonosa
Guillermo Izquierdo Ayuso
author_facet Anabel Granja Domínguez
Raúl Romero Sevilla
Aurora Alemán
Carmen Durán
Anja Hochsprung
Guillermo Navarro
Cristina Páramo
Ana Venegas
Ana Lladonosa
Guillermo Izquierdo Ayuso
author_sort Anabel Granja Domínguez
collection DOAJ
description <h4>Objective</h4> To determine the concordance and statistical precision in gait velocity in people with multiple sclerosis (pwMS), measured with FeetMe® (insoles with pressure and motion sensors) compared with GAITRite® (classic reference system of gait analysis) in the timed 25-Feet Walk test (T25WT). <h4>Methods</h4> This observational, cross-sectional, prospective, single center study was conducted between September-2018 and April-2019 in pwMS aged 18–55 years, with Expanded Disability Status Scale (EDSS) 0–6.5 and relapse free ≥30 days at baseline. Primary endpoint was gait velocity. Secondary endpoints were ambulation time, cadence, and stride length assessment, while the correlation between gait variables and the clinical parameters of MS subjects was assessed as an exploratory endpoint. <h4>Results</h4> A total of 207 MS subjects were enrolled, of whom, 205 were considered in primary analysis. Most subjects were women (66.8%) and had relapsing-remitting MS (RRMS) (82.9%), with overall mean (standard deviation [SD]) age of 41.5 (8.0) year and EDSS 3.1 (2.0). There was a statistically significant (p<0.0001) and strong agreement (intra-class correlation coefficient (ICC) >0.830) in gait velocity, ambulation time and cadence assessment between FeetMe® and GAITRite®. <h4>Conclusions</h4> Agreement between devices was strong (ICC≥0.800). FeetMe® is the first validated wearable medical device that allows gait monitoring in MS subjects, being potentially able to assess disease activity, progression, and treatment response.
first_indexed 2024-04-10T15:47:10Z
format Article
id doaj.art-276ed94737f042e8a2323d12a55410a5
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-04-10T15:47:10Z
publishDate 2023-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-276ed94737f042e8a2323d12a55410a52023-02-12T05:31:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01182Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosisAnabel Granja DomínguezRaúl Romero SevillaAurora AlemánCarmen DuránAnja HochsprungGuillermo NavarroCristina PáramoAna VenegasAna LladonosaGuillermo Izquierdo Ayuso<h4>Objective</h4> To determine the concordance and statistical precision in gait velocity in people with multiple sclerosis (pwMS), measured with FeetMe® (insoles with pressure and motion sensors) compared with GAITRite® (classic reference system of gait analysis) in the timed 25-Feet Walk test (T25WT). <h4>Methods</h4> This observational, cross-sectional, prospective, single center study was conducted between September-2018 and April-2019 in pwMS aged 18–55 years, with Expanded Disability Status Scale (EDSS) 0–6.5 and relapse free ≥30 days at baseline. Primary endpoint was gait velocity. Secondary endpoints were ambulation time, cadence, and stride length assessment, while the correlation between gait variables and the clinical parameters of MS subjects was assessed as an exploratory endpoint. <h4>Results</h4> A total of 207 MS subjects were enrolled, of whom, 205 were considered in primary analysis. Most subjects were women (66.8%) and had relapsing-remitting MS (RRMS) (82.9%), with overall mean (standard deviation [SD]) age of 41.5 (8.0) year and EDSS 3.1 (2.0). There was a statistically significant (p<0.0001) and strong agreement (intra-class correlation coefficient (ICC) >0.830) in gait velocity, ambulation time and cadence assessment between FeetMe® and GAITRite®. <h4>Conclusions</h4> Agreement between devices was strong (ICC≥0.800). FeetMe® is the first validated wearable medical device that allows gait monitoring in MS subjects, being potentially able to assess disease activity, progression, and treatment response.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910712/?tool=EBI
spellingShingle Anabel Granja Domínguez
Raúl Romero Sevilla
Aurora Alemán
Carmen Durán
Anja Hochsprung
Guillermo Navarro
Cristina Páramo
Ana Venegas
Ana Lladonosa
Guillermo Izquierdo Ayuso
Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
PLoS ONE
title Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
title_full Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
title_fullStr Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
title_full_unstemmed Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
title_short Study for the validation of the FeetMe® integrated sensor insole system compared to GAITRite® system to assess gait characteristics in patients with multiple sclerosis
title_sort study for the validation of the feetme r integrated sensor insole system compared to gaitrite r system to assess gait characteristics in patients with multiple sclerosis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910712/?tool=EBI
work_keys_str_mv AT anabelgranjadominguez studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT raulromerosevilla studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT auroraaleman studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT carmenduran studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT anjahochsprung studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT guillermonavarro studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT cristinaparamo studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT anavenegas studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT analladonosa studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis
AT guillermoizquierdoayuso studyforthevalidationofthefeetmeintegratedsensorinsolesystemcomparedtogaitritesystemtoassessgaitcharacteristicsinpatientswithmultiplesclerosis