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A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback

This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS’s (iPhone Operating System) Objective-C programming l...

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Detalles Bibliográficos
Autores principales: Lopez-Samaniego, Leire, Garcia-Zapirain, Begonya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201317/
https://www.ncbi.nlm.nih.gov/pubmed/27886146
http://dx.doi.org/10.3390/ijerph13121176
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author Lopez-Samaniego, Leire
Garcia-Zapirain, Begonya
author_facet Lopez-Samaniego, Leire
Garcia-Zapirain, Begonya
author_sort Lopez-Samaniego, Leire
collection PubMed
description This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS’s (iPhone Operating System) Objective-C programming language and its XCode programming environment; and SQLite in order to create the database. The biofeedback system is implemented by the use of two biosensors which are, in fact, a Microsoft band 2 in order to register the user’s heart rate and a MYO sensor to detect the user’s arm movement. Finally, the system was tested with seven elderly people from La Santa y Real Casa de la Misericordia nursing home in Bilbao. The statistical assessment has shown that the users are satisfied with the usability of the system, with a mean score of 79.29 on the System Usability Scale (SUS) questionnaire.
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spelling pubmed-52013172016-12-30 A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback Lopez-Samaniego, Leire Garcia-Zapirain, Begonya Int J Environ Res Public Health Article This publication presents a complete description of a technological solution system for the physical and cognitive rehabilitation of elderly people through a biofeedback system, which is combined with a Lego robot. The technology used was the iOS’s (iPhone Operating System) Objective-C programming language and its XCode programming environment; and SQLite in order to create the database. The biofeedback system is implemented by the use of two biosensors which are, in fact, a Microsoft band 2 in order to register the user’s heart rate and a MYO sensor to detect the user’s arm movement. Finally, the system was tested with seven elderly people from La Santa y Real Casa de la Misericordia nursing home in Bilbao. The statistical assessment has shown that the users are satisfied with the usability of the system, with a mean score of 79.29 on the System Usability Scale (SUS) questionnaire. MDPI 2016-11-24 2016-12 /pmc/articles/PMC5201317/ /pubmed/27886146 http://dx.doi.org/10.3390/ijerph13121176 Text en © 2016 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
Lopez-Samaniego, Leire
Garcia-Zapirain, Begonya
A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title_full A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title_fullStr A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title_full_unstemmed A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title_short A Robot-Based Tool for Physical and Cognitive Rehabilitation of Elderly People Using Biofeedback
title_sort robot-based tool for physical and cognitive rehabilitation of elderly people using biofeedback
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5201317/
https://www.ncbi.nlm.nih.gov/pubmed/27886146
http://dx.doi.org/10.3390/ijerph13121176
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