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Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review

BACKGROUND: Extremity weakness, fatigue, and postural instability often contribute to mobility deficits in persons after stroke. Wearable technologies are increasingly being utilized to track many health-related parameters across different patient populations. The purpose of this systematic review w...

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Autores principales: Peters, Denise M., O’Brien, Emma S., Kamrud, Kira E., Roberts, Shawn M., Rooney, Talia A., Thibodeau, Kristen P., Balakrishnan, Swapna, Gell, Nancy, Mohapatra, Sambit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059183/
https://www.ncbi.nlm.nih.gov/pubmed/33882948
http://dx.doi.org/10.1186/s12984-021-00863-x
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author Peters, Denise M.
O’Brien, Emma S.
Kamrud, Kira E.
Roberts, Shawn M.
Rooney, Talia A.
Thibodeau, Kristen P.
Balakrishnan, Swapna
Gell, Nancy
Mohapatra, Sambit
author_facet Peters, Denise M.
O’Brien, Emma S.
Kamrud, Kira E.
Roberts, Shawn M.
Rooney, Talia A.
Thibodeau, Kristen P.
Balakrishnan, Swapna
Gell, Nancy
Mohapatra, Sambit
author_sort Peters, Denise M.
collection PubMed
description BACKGROUND: Extremity weakness, fatigue, and postural instability often contribute to mobility deficits in persons after stroke. Wearable technologies are increasingly being utilized to track many health-related parameters across different patient populations. The purpose of this systematic review was to identify how wearable technologies have been used over the past decade to assess gait and mobility in persons with stroke. METHODS: We performed a systematic search of Ovid MEDLINE, CINAHL, and Cochrane databases using select keywords. We identified a total of 354 articles, and 13 met inclusion/exclusion criteria. Included studies were quality assessed and data extracted included participant demographics, type of wearable technology utilized, gait parameters assessed, and reliability and validity metrics. RESULTS: The majority of studies were performed in either hospital-based or inpatient settings. Accelerometers, activity monitors, and pressure sensors were the most commonly used wearable technologies to assess gait and mobility post-stroke. Among these devices, spatiotemporal parameters of gait that were most widely assessed were gait speed and cadence, and the most common mobility measures included step count and duration of activity. Only 4 studies reported on wearable technology validity and reliability metrics, with mixed results. CONCLUSION: The use of various wearable technologies has enabled researchers and clinicians to monitor patients’ activity in a multitude of settings post-stroke. Using data from wearables may provide clinicians with insights into their patients’ lived-experiences and enrich their evaluations and plans of care. However, more studies are needed to examine the impact of stroke on community mobility and to improve the accuracy of these devices for gait and mobility assessments amongst persons with altered gait post-stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-021-00863-x.
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spelling pubmed-80591832021-04-21 Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review Peters, Denise M. O’Brien, Emma S. Kamrud, Kira E. Roberts, Shawn M. Rooney, Talia A. Thibodeau, Kristen P. Balakrishnan, Swapna Gell, Nancy Mohapatra, Sambit J Neuroeng Rehabil Review BACKGROUND: Extremity weakness, fatigue, and postural instability often contribute to mobility deficits in persons after stroke. Wearable technologies are increasingly being utilized to track many health-related parameters across different patient populations. The purpose of this systematic review was to identify how wearable technologies have been used over the past decade to assess gait and mobility in persons with stroke. METHODS: We performed a systematic search of Ovid MEDLINE, CINAHL, and Cochrane databases using select keywords. We identified a total of 354 articles, and 13 met inclusion/exclusion criteria. Included studies were quality assessed and data extracted included participant demographics, type of wearable technology utilized, gait parameters assessed, and reliability and validity metrics. RESULTS: The majority of studies were performed in either hospital-based or inpatient settings. Accelerometers, activity monitors, and pressure sensors were the most commonly used wearable technologies to assess gait and mobility post-stroke. Among these devices, spatiotemporal parameters of gait that were most widely assessed were gait speed and cadence, and the most common mobility measures included step count and duration of activity. Only 4 studies reported on wearable technology validity and reliability metrics, with mixed results. CONCLUSION: The use of various wearable technologies has enabled researchers and clinicians to monitor patients’ activity in a multitude of settings post-stroke. Using data from wearables may provide clinicians with insights into their patients’ lived-experiences and enrich their evaluations and plans of care. However, more studies are needed to examine the impact of stroke on community mobility and to improve the accuracy of these devices for gait and mobility assessments amongst persons with altered gait post-stroke. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-021-00863-x. BioMed Central 2021-04-21 /pmc/articles/PMC8059183/ /pubmed/33882948 http://dx.doi.org/10.1186/s12984-021-00863-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Peters, Denise M.
O’Brien, Emma S.
Kamrud, Kira E.
Roberts, Shawn M.
Rooney, Talia A.
Thibodeau, Kristen P.
Balakrishnan, Swapna
Gell, Nancy
Mohapatra, Sambit
Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title_full Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title_fullStr Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title_full_unstemmed Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title_short Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
title_sort utilization of wearable technology to assess gait and mobility post-stroke: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8059183/
https://www.ncbi.nlm.nih.gov/pubmed/33882948
http://dx.doi.org/10.1186/s12984-021-00863-x
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