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Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system

BACKGROUND: Gait disturbance is a major contributor to clinical disability in multiple sclerosis (MS). A sensor was developed to assess walking speed at home for people with MS using infrared technology in real-time without the use of wearables. OBJECTIVE: To develop continuous in-home outcome measu...

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Autores principales: Smith, Victoria MJ, Varsanik, Jonathan S, Walker, Rachel A, Russo, Andrew W, Patel, Kevin R, Gabel, Wendy, Phillips, Glenn A, Kimmel, Zebadiah M, Klawiter, Eric C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784463/
https://www.ncbi.nlm.nih.gov/pubmed/29383266
http://dx.doi.org/10.1177/2055217317753465
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author Smith, Victoria MJ
Varsanik, Jonathan S
Walker, Rachel A
Russo, Andrew W
Patel, Kevin R
Gabel, Wendy
Phillips, Glenn A
Kimmel, Zebadiah M
Klawiter, Eric C
author_facet Smith, Victoria MJ
Varsanik, Jonathan S
Walker, Rachel A
Russo, Andrew W
Patel, Kevin R
Gabel, Wendy
Phillips, Glenn A
Kimmel, Zebadiah M
Klawiter, Eric C
author_sort Smith, Victoria MJ
collection PubMed
description BACKGROUND: Gait disturbance is a major contributor to clinical disability in multiple sclerosis (MS). A sensor was developed to assess walking speed at home for people with MS using infrared technology in real-time without the use of wearables. OBJECTIVE: To develop continuous in-home outcome measures to assess gait in adults with MS. METHODS: Movement measurements were collected continuously for 8 months from six people with MS. Average walking speed and peak walking speed were calculated from movement data, then analyzed for variability over time, by room (location), and over the course of the day. In-home continuous gait outcomes and variability were correlated with standard in-clinic gait outcomes. RESULTS: Measured in-home average walking speed of participants ranged from 0.33 m/s to 0.96 m/s and peak walking speed ranged from 0.89 m/s to 1.51 m/s. Mean total within-participant coefficient of variation for daily average walking speed and peak walking speed were 10.75% and 10.93%, respectively. Average walking speed demonstrated a moderately strong correlation with baseline Timed 25-Foot Walk (r(s) = 0.714, P = 0.111). CONCLUSION: New non-wearable technology provides reliable and continuous in-home assessment of walking speed.
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spelling pubmed-57844632018-01-30 Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system Smith, Victoria MJ Varsanik, Jonathan S Walker, Rachel A Russo, Andrew W Patel, Kevin R Gabel, Wendy Phillips, Glenn A Kimmel, Zebadiah M Klawiter, Eric C Mult Scler J Exp Transl Clin Original Research Paper BACKGROUND: Gait disturbance is a major contributor to clinical disability in multiple sclerosis (MS). A sensor was developed to assess walking speed at home for people with MS using infrared technology in real-time without the use of wearables. OBJECTIVE: To develop continuous in-home outcome measures to assess gait in adults with MS. METHODS: Movement measurements were collected continuously for 8 months from six people with MS. Average walking speed and peak walking speed were calculated from movement data, then analyzed for variability over time, by room (location), and over the course of the day. In-home continuous gait outcomes and variability were correlated with standard in-clinic gait outcomes. RESULTS: Measured in-home average walking speed of participants ranged from 0.33 m/s to 0.96 m/s and peak walking speed ranged from 0.89 m/s to 1.51 m/s. Mean total within-participant coefficient of variation for daily average walking speed and peak walking speed were 10.75% and 10.93%, respectively. Average walking speed demonstrated a moderately strong correlation with baseline Timed 25-Foot Walk (r(s) = 0.714, P = 0.111). CONCLUSION: New non-wearable technology provides reliable and continuous in-home assessment of walking speed. SAGE Publications 2018-01-23 /pmc/articles/PMC5784463/ /pubmed/29383266 http://dx.doi.org/10.1177/2055217317753465 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons NonCommercial-NoDerivs CC BY-NC-ND: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (http://www.creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Paper
Smith, Victoria MJ
Varsanik, Jonathan S
Walker, Rachel A
Russo, Andrew W
Patel, Kevin R
Gabel, Wendy
Phillips, Glenn A
Kimmel, Zebadiah M
Klawiter, Eric C
Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title_full Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title_fullStr Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title_full_unstemmed Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title_short Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
title_sort movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784463/
https://www.ncbi.nlm.nih.gov/pubmed/29383266
http://dx.doi.org/10.1177/2055217317753465
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