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Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults

The present paper describes a system for older people to self-administer the 30-s chair stand test (CST) at home without supervision. The system comprises a low-cost sensor to count sit-to-stand (SiSt) transitions, and an Android application to guide older people through the procedure. Two observati...

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Autores principales: Cobo, Antonio, Villalba-Mora, Elena, Pérez-Rodríguez, Rodrigo, Ferre, Xavier, Escalante, Walter, Moral, Cristian, Rodriguez-Mañas, Leocadio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650655/
https://www.ncbi.nlm.nih.gov/pubmed/33066673
http://dx.doi.org/10.3390/s20205813
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author Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Escalante, Walter
Moral, Cristian
Rodriguez-Mañas, Leocadio
author_facet Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Escalante, Walter
Moral, Cristian
Rodriguez-Mañas, Leocadio
author_sort Cobo, Antonio
collection PubMed
description The present paper describes a system for older people to self-administer the 30-s chair stand test (CST) at home without supervision. The system comprises a low-cost sensor to count sit-to-stand (SiSt) transitions, and an Android application to guide older people through the procedure. Two observational studies were conducted to test (i) the sensor in a supervised environment (n = 7; m = 83.29 years old, sd = 4.19; 5 female), and (ii) the complete system in an unsupervised one (n = 7; age 64–74 years old; 3 female). The participants in the supervised test were asked to perform a 30-s CST with the sensor, while a member of the research team manually counted valid transitions. Automatic and manual counts were perfectly correlated (Pearson’s r = 1, p = 0.00). Even though the sample was small, none of the signals around the critical score were affected by harmful noise; p (harmless noise) = 1, 95% CI = (0.98, 1). The participants in the unsupervised test used the system in their homes for a month. None of them dropped out, and they reported it to be easy to use, comfortable, and easy to understand. Thus, the system is suitable to be used by older adults in their homes without professional supervision.
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spelling pubmed-76506552020-11-10 Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults Cobo, Antonio Villalba-Mora, Elena Pérez-Rodríguez, Rodrigo Ferre, Xavier Escalante, Walter Moral, Cristian Rodriguez-Mañas, Leocadio Sensors (Basel) Article The present paper describes a system for older people to self-administer the 30-s chair stand test (CST) at home without supervision. The system comprises a low-cost sensor to count sit-to-stand (SiSt) transitions, and an Android application to guide older people through the procedure. Two observational studies were conducted to test (i) the sensor in a supervised environment (n = 7; m = 83.29 years old, sd = 4.19; 5 female), and (ii) the complete system in an unsupervised one (n = 7; age 64–74 years old; 3 female). The participants in the supervised test were asked to perform a 30-s CST with the sensor, while a member of the research team manually counted valid transitions. Automatic and manual counts were perfectly correlated (Pearson’s r = 1, p = 0.00). Even though the sample was small, none of the signals around the critical score were affected by harmful noise; p (harmless noise) = 1, 95% CI = (0.98, 1). The participants in the unsupervised test used the system in their homes for a month. None of them dropped out, and they reported it to be easy to use, comfortable, and easy to understand. Thus, the system is suitable to be used by older adults in their homes without professional supervision. MDPI 2020-10-14 /pmc/articles/PMC7650655/ /pubmed/33066673 http://dx.doi.org/10.3390/s20205813 Text en © 2020 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
Cobo, Antonio
Villalba-Mora, Elena
Pérez-Rodríguez, Rodrigo
Ferre, Xavier
Escalante, Walter
Moral, Cristian
Rodriguez-Mañas, Leocadio
Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title_full Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title_fullStr Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title_full_unstemmed Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title_short Automatic and Real-Time Computation of the 30-Seconds Chair-Stand Test without Professional Supervision for Community-Dwelling Older Adults
title_sort automatic and real-time computation of the 30-seconds chair-stand test without professional supervision for community-dwelling older adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7650655/
https://www.ncbi.nlm.nih.gov/pubmed/33066673
http://dx.doi.org/10.3390/s20205813
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