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An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol

BACKGROUND: Gait and balance impairments are often present in people with multiple sclerosis (PwMS) and have a significant impact on quality of life and independence. Gold-standard quantitative tools for assessing gait and balance such as motion capture systems and force plates usually require compl...

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Autores principales: Rinderknecht, Mike D, Zanon, Mattia, Boonstra, Tjitske A, Angelini, Lorenza, Stanev, Dimitar, Chan, Gabriela González, Bunn, Lisa, Dondelinger, Frank, Hosking, Richard, Freeman, Jenny, Hobart, Jeremy, Marsden, Jonathan, Craveiro, Licinio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588425/
https://www.ncbi.nlm.nih.gov/pubmed/37868156
http://dx.doi.org/10.1177/20552076231205284
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author Rinderknecht, Mike D
Zanon, Mattia
Boonstra, Tjitske A
Angelini, Lorenza
Stanev, Dimitar
Chan, Gabriela González
Bunn, Lisa
Dondelinger, Frank
Hosking, Richard
Freeman, Jenny
Hobart, Jeremy
Marsden, Jonathan
Craveiro, Licinio
author_facet Rinderknecht, Mike D
Zanon, Mattia
Boonstra, Tjitske A
Angelini, Lorenza
Stanev, Dimitar
Chan, Gabriela González
Bunn, Lisa
Dondelinger, Frank
Hosking, Richard
Freeman, Jenny
Hobart, Jeremy
Marsden, Jonathan
Craveiro, Licinio
author_sort Rinderknecht, Mike D
collection PubMed
description BACKGROUND: Gait and balance impairments are often present in people with multiple sclerosis (PwMS) and have a significant impact on quality of life and independence. Gold-standard quantitative tools for assessing gait and balance such as motion capture systems and force plates usually require complex technical setups. Wearable sensors, including those integrated into smartphones, offer a more frequent, convenient, and minimally burdensome assessment of functional disability in a home environment. We developed a novel smartphone sensor-based application (Floodlight) that is being used in multiple research and clinical contexts, but a complete validation of this technology is still lacking. METHODS: This protocol describes an observational study designed to evaluate the analytical and clinical validity of Floodlight gait and balance tests. Approximately 100 PwMS and 35 healthy controls will perform multiple gait and balance tasks in both laboratory-based and real-world environments in order to explore the following properties: (a) concurrent validity of the Floodlight gait and balance tests against gold-standard assessments; (b) reliability of Floodlight digital measures derived under different controlled gait and balance conditions, and different on-body sensor locations; (c) ecological validity of the tests; and (d) construct validity compared with clinician- and patient-reported assessments. CONCLUSIONS: The Floodlight GaitLab study (ISRCTN15993728) represents a critical step in the technical validation of Floodlight technology to measure gait and balance in PwMS, and will also allow the development of new test designs and algorithms.
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spelling pubmed-105884252023-10-21 An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol Rinderknecht, Mike D Zanon, Mattia Boonstra, Tjitske A Angelini, Lorenza Stanev, Dimitar Chan, Gabriela González Bunn, Lisa Dondelinger, Frank Hosking, Richard Freeman, Jenny Hobart, Jeremy Marsden, Jonathan Craveiro, Licinio Digit Health Research Protocol BACKGROUND: Gait and balance impairments are often present in people with multiple sclerosis (PwMS) and have a significant impact on quality of life and independence. Gold-standard quantitative tools for assessing gait and balance such as motion capture systems and force plates usually require complex technical setups. Wearable sensors, including those integrated into smartphones, offer a more frequent, convenient, and minimally burdensome assessment of functional disability in a home environment. We developed a novel smartphone sensor-based application (Floodlight) that is being used in multiple research and clinical contexts, but a complete validation of this technology is still lacking. METHODS: This protocol describes an observational study designed to evaluate the analytical and clinical validity of Floodlight gait and balance tests. Approximately 100 PwMS and 35 healthy controls will perform multiple gait and balance tasks in both laboratory-based and real-world environments in order to explore the following properties: (a) concurrent validity of the Floodlight gait and balance tests against gold-standard assessments; (b) reliability of Floodlight digital measures derived under different controlled gait and balance conditions, and different on-body sensor locations; (c) ecological validity of the tests; and (d) construct validity compared with clinician- and patient-reported assessments. CONCLUSIONS: The Floodlight GaitLab study (ISRCTN15993728) represents a critical step in the technical validation of Floodlight technology to measure gait and balance in PwMS, and will also allow the development of new test designs and algorithms. SAGE Publications 2023-10-19 /pmc/articles/PMC10588425/ /pubmed/37868156 http://dx.doi.org/10.1177/20552076231205284 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Research Protocol
Rinderknecht, Mike D
Zanon, Mattia
Boonstra, Tjitske A
Angelini, Lorenza
Stanev, Dimitar
Chan, Gabriela González
Bunn, Lisa
Dondelinger, Frank
Hosking, Richard
Freeman, Jenny
Hobart, Jeremy
Marsden, Jonathan
Craveiro, Licinio
An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title_full An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title_fullStr An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title_full_unstemmed An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title_short An observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: Floodlight GaitLab protocol
title_sort observational study to assess validity and reliability of smartphone sensor-based gait and balance assessments in multiple sclerosis: floodlight gaitlab protocol
topic Research Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588425/
https://www.ncbi.nlm.nih.gov/pubmed/37868156
http://dx.doi.org/10.1177/20552076231205284
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