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Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review
The ability of people living with dementia to walk independently is a key contributor to their overall well-being and autonomy. For this reason, understanding the relationship between dementia and gait is significant. With rapidly emerging developments in technology, wearable devices offer a portabl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656771/ https://www.ncbi.nlm.nih.gov/pubmed/34886459 http://dx.doi.org/10.3390/ijerph182312735 |
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author | Weizman, Yehuda Tirosh, Oren Beh, Jeanie Fuss, Franz Konstantin Pedell, Sonja |
author_facet | Weizman, Yehuda Tirosh, Oren Beh, Jeanie Fuss, Franz Konstantin Pedell, Sonja |
author_sort | Weizman, Yehuda |
collection | PubMed |
description | The ability of people living with dementia to walk independently is a key contributor to their overall well-being and autonomy. For this reason, understanding the relationship between dementia and gait is significant. With rapidly emerging developments in technology, wearable devices offer a portable and affordable alternative for healthcare experts to objectively estimate kinematic parameters with great accuracy. This systematic review aims to provide an updated overview and explore the opportunities in the current research on wearable sensors for gait analysis in adults over 60 living with dementia. A systematic search was conducted in the following scientific databases: PubMed, Cochrane Library, and IEEE Xplore. The targeted search identified 1992 articles that were potentially eligible for inclusion, but, following title, abstract, and full-text review, only 6 articles were deemed to meet the inclusion criteria. Most studies performed adequately on measures of reporting, in and out of a laboratory environment, and found that sensor-derived data are successful in their respective objectives and goals. Nevertheless, we believe that additional studies utilizing standardized protocols should be conducted in the future to explore the impact and usefulness of wearable devices in gait-related characteristics such as fall prognosis and early diagnosis in people living with dementia. |
format | Online Article Text |
id | pubmed-8656771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86567712021-12-10 Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review Weizman, Yehuda Tirosh, Oren Beh, Jeanie Fuss, Franz Konstantin Pedell, Sonja Int J Environ Res Public Health Systematic Review The ability of people living with dementia to walk independently is a key contributor to their overall well-being and autonomy. For this reason, understanding the relationship between dementia and gait is significant. With rapidly emerging developments in technology, wearable devices offer a portable and affordable alternative for healthcare experts to objectively estimate kinematic parameters with great accuracy. This systematic review aims to provide an updated overview and explore the opportunities in the current research on wearable sensors for gait analysis in adults over 60 living with dementia. A systematic search was conducted in the following scientific databases: PubMed, Cochrane Library, and IEEE Xplore. The targeted search identified 1992 articles that were potentially eligible for inclusion, but, following title, abstract, and full-text review, only 6 articles were deemed to meet the inclusion criteria. Most studies performed adequately on measures of reporting, in and out of a laboratory environment, and found that sensor-derived data are successful in their respective objectives and goals. Nevertheless, we believe that additional studies utilizing standardized protocols should be conducted in the future to explore the impact and usefulness of wearable devices in gait-related characteristics such as fall prognosis and early diagnosis in people living with dementia. MDPI 2021-12-02 /pmc/articles/PMC8656771/ /pubmed/34886459 http://dx.doi.org/10.3390/ijerph182312735 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Weizman, Yehuda Tirosh, Oren Beh, Jeanie Fuss, Franz Konstantin Pedell, Sonja Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title | Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title_full | Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title_fullStr | Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title_full_unstemmed | Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title_short | Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review |
title_sort | gait assessment using wearable sensor-based devices in people living with dementia: a systematic review |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656771/ https://www.ncbi.nlm.nih.gov/pubmed/34886459 http://dx.doi.org/10.3390/ijerph182312735 |
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