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The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke
Background: In stroke rehabilitation not only are the levels of physical activity important, but body postures and movements performed during one’s daily-life are also important. This information is provided by a new one-sensor accelerometer that is commercially available, low-cost, and user-friendl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069255/ https://www.ncbi.nlm.nih.gov/pubmed/29976900 http://dx.doi.org/10.3390/s18072167 |
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author | Fanchamps, Malou H. J. Horemans, Herwin L. D. Ribbers, Gerard M. Stam, Henk J. Bussmann, Johannes B. J. |
author_facet | Fanchamps, Malou H. J. Horemans, Herwin L. D. Ribbers, Gerard M. Stam, Henk J. Bussmann, Johannes B. J. |
author_sort | Fanchamps, Malou H. J. |
collection | PubMed |
description | Background: In stroke rehabilitation not only are the levels of physical activity important, but body postures and movements performed during one’s daily-life are also important. This information is provided by a new one-sensor accelerometer that is commercially available, low-cost, and user-friendly. The present study examines the accuracy of this activity monitor (Activ8) in detecting several classes of body postures and movements in people after a stroke. Methods: Twenty-five people after a stroke participated in an activity protocol with either basic activities or daily-life activities performed in a laboratory and/or at home. Participants wore an Activ8 on their less-affected thigh. The primary outcome was the difference in registered time for the merged class “upright position” (standing/walking/running) between the Activ8 and the video recording (the reference method). Secondary analyses focused on classes other than “upright position”. Results: The Activ8 underestimated the merged class “upright position” by 3.8% (775 s). The secondary analyses showed an overestimation of “lying/sitting” (4.5% (569 s)) and of “cycling” (6.5% (206 s)). The differences were lowest for basic activities in the laboratory and highest for daily-life activities at home. Conclusions: The Activ8 is sufficiently accurate in detecting different classes of body postures and movements of people after a stroke during basic activities and daily-life activities in a laboratory and/or at home. |
format | Online Article Text |
id | pubmed-6069255 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60692552018-08-07 The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke Fanchamps, Malou H. J. Horemans, Herwin L. D. Ribbers, Gerard M. Stam, Henk J. Bussmann, Johannes B. J. Sensors (Basel) Article Background: In stroke rehabilitation not only are the levels of physical activity important, but body postures and movements performed during one’s daily-life are also important. This information is provided by a new one-sensor accelerometer that is commercially available, low-cost, and user-friendly. The present study examines the accuracy of this activity monitor (Activ8) in detecting several classes of body postures and movements in people after a stroke. Methods: Twenty-five people after a stroke participated in an activity protocol with either basic activities or daily-life activities performed in a laboratory and/or at home. Participants wore an Activ8 on their less-affected thigh. The primary outcome was the difference in registered time for the merged class “upright position” (standing/walking/running) between the Activ8 and the video recording (the reference method). Secondary analyses focused on classes other than “upright position”. Results: The Activ8 underestimated the merged class “upright position” by 3.8% (775 s). The secondary analyses showed an overestimation of “lying/sitting” (4.5% (569 s)) and of “cycling” (6.5% (206 s)). The differences were lowest for basic activities in the laboratory and highest for daily-life activities at home. Conclusions: The Activ8 is sufficiently accurate in detecting different classes of body postures and movements of people after a stroke during basic activities and daily-life activities in a laboratory and/or at home. MDPI 2018-07-05 /pmc/articles/PMC6069255/ /pubmed/29976900 http://dx.doi.org/10.3390/s18072167 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fanchamps, Malou H. J. Horemans, Herwin L. D. Ribbers, Gerard M. Stam, Henk J. Bussmann, Johannes B. J. The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title | The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title_full | The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title_fullStr | The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title_full_unstemmed | The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title_short | The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke |
title_sort | accuracy of the detection of body postures and movements using a physical activity monitor in people after a stroke |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069255/ https://www.ncbi.nlm.nih.gov/pubmed/29976900 http://dx.doi.org/10.3390/s18072167 |
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