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Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors

Wearable technologies for health monitoring have become a reality in the last few years. So far, most research studies have focused on assessments of the technical performance of these systems, as well as the validation of the clinical outcomes. Nevertheless, the success in the acceptance of these s...

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Autores principales: Cancela, Jorge, Pastorino, Matteo, Tzallas, Alexandros T., Tsipouras, Markos G., Rigas, Giorgios, Arredondo, Maria T., Fotiadis, Dimitrios I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208222/
https://www.ncbi.nlm.nih.gov/pubmed/25230307
http://dx.doi.org/10.3390/s140917235
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author Cancela, Jorge
Pastorino, Matteo
Tzallas, Alexandros T.
Tsipouras, Markos G.
Rigas, Giorgios
Arredondo, Maria T.
Fotiadis, Dimitrios I.
author_facet Cancela, Jorge
Pastorino, Matteo
Tzallas, Alexandros T.
Tsipouras, Markos G.
Rigas, Giorgios
Arredondo, Maria T.
Fotiadis, Dimitrios I.
author_sort Cancela, Jorge
collection PubMed
description Wearable technologies for health monitoring have become a reality in the last few years. So far, most research studies have focused on assessments of the technical performance of these systems, as well as the validation of the clinical outcomes. Nevertheless, the success in the acceptance of these solutions depends not only on the technical and clinical effectiveness, but on the final user acceptance. In this work the compliance of a telehealth system for the remote monitoring of Parkinson's disease (PD) patients is presented with testing in 32 PD patients. This system, called PERFORM, is based on a Body Area Network (BAN) of sensors which has already been validated both from the technical and clinical point for view. Diverse methodologies (REBA, Borg and CRS scales in combination with a body map) are employed to study the comfort, biomechanical and physiological effects of the system. The test results allow us to conclude that the acceptance of this system is satisfactory with all the levels of effect on each component scoring in the lowest ranges. This study also provided useful insights and guidelines to lead to redesign of the system to improve patient compliance.
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spelling pubmed-42082222014-10-24 Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors Cancela, Jorge Pastorino, Matteo Tzallas, Alexandros T. Tsipouras, Markos G. Rigas, Giorgios Arredondo, Maria T. Fotiadis, Dimitrios I. Sensors (Basel) Article Wearable technologies for health monitoring have become a reality in the last few years. So far, most research studies have focused on assessments of the technical performance of these systems, as well as the validation of the clinical outcomes. Nevertheless, the success in the acceptance of these solutions depends not only on the technical and clinical effectiveness, but on the final user acceptance. In this work the compliance of a telehealth system for the remote monitoring of Parkinson's disease (PD) patients is presented with testing in 32 PD patients. This system, called PERFORM, is based on a Body Area Network (BAN) of sensors which has already been validated both from the technical and clinical point for view. Diverse methodologies (REBA, Borg and CRS scales in combination with a body map) are employed to study the comfort, biomechanical and physiological effects of the system. The test results allow us to conclude that the acceptance of this system is satisfactory with all the levels of effect on each component scoring in the lowest ranges. This study also provided useful insights and guidelines to lead to redesign of the system to improve patient compliance. MDPI 2014-09-16 /pmc/articles/PMC4208222/ /pubmed/25230307 http://dx.doi.org/10.3390/s140917235 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Cancela, Jorge
Pastorino, Matteo
Tzallas, Alexandros T.
Tsipouras, Markos G.
Rigas, Giorgios
Arredondo, Maria T.
Fotiadis, Dimitrios I.
Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title_full Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title_fullStr Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title_full_unstemmed Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title_short Wearability Assessment of a Wearable System for Parkinson's Disease Remote Monitoring Based on a Body Area Network of Sensors
title_sort wearability assessment of a wearable system for parkinson's disease remote monitoring based on a body area network of sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208222/
https://www.ncbi.nlm.nih.gov/pubmed/25230307
http://dx.doi.org/10.3390/s140917235
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