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QoS-based management of biomedical wireless sensor networks for patient monitoring
Biomedical wireless sensor networks are a key technology to support the development of new applications and services targeting patient monitoring, in particular, regarding data collection for medical diagnosis and continuous health assessment. However, due to the critical nature of medical applicati...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039666/ https://www.ncbi.nlm.nih.gov/pubmed/24892000 http://dx.doi.org/10.1186/2193-1801-3-239 |
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author | Abreu, Carlos Miranda, Francisco Ricardo, Manuel Mendes, Paulo Mateus |
author_facet | Abreu, Carlos Miranda, Francisco Ricardo, Manuel Mendes, Paulo Mateus |
author_sort | Abreu, Carlos |
collection | PubMed |
description | Biomedical wireless sensor networks are a key technology to support the development of new applications and services targeting patient monitoring, in particular, regarding data collection for medical diagnosis and continuous health assessment. However, due to the critical nature of medical applications, such networks have to satisfy demanding quality of service requirements, while guaranteeing high levels of confidence and reliability. Such goals are influenced by several factors, where the network topology, the limited throughput, and the characteristics and dynamics of the surrounding environment are of major importance. Harsh environments, as hospital facilities, can compromise the radio frequency communications and, consequently, the network’s ability to provide the quality of service required by medical applications. Furthermore, the impact of such environments on the network’s performance is hard to manage due to its random and unpredictable nature. Consequently, network planning and management, in general or step-down hospital units, is a very hard task. In such context, this work presents a quality of service based management tool to help healthcare professionals supervising the network’s performance and to assist them managing the admission of new sensor nodes (i.e., patients to be monitored) to the biomedical wireless sensor network. The proposed solution proves to be a valuable tool both, to detect and classify potential harmful variations in the quality of service provided by the network, avoiding its degradation to levels where the biomedical signs would be useless; and to manage the admission of new patients to the network. |
format | Online Article Text |
id | pubmed-4039666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-40396662014-06-02 QoS-based management of biomedical wireless sensor networks for patient monitoring Abreu, Carlos Miranda, Francisco Ricardo, Manuel Mendes, Paulo Mateus Springerplus Research Biomedical wireless sensor networks are a key technology to support the development of new applications and services targeting patient monitoring, in particular, regarding data collection for medical diagnosis and continuous health assessment. However, due to the critical nature of medical applications, such networks have to satisfy demanding quality of service requirements, while guaranteeing high levels of confidence and reliability. Such goals are influenced by several factors, where the network topology, the limited throughput, and the characteristics and dynamics of the surrounding environment are of major importance. Harsh environments, as hospital facilities, can compromise the radio frequency communications and, consequently, the network’s ability to provide the quality of service required by medical applications. Furthermore, the impact of such environments on the network’s performance is hard to manage due to its random and unpredictable nature. Consequently, network planning and management, in general or step-down hospital units, is a very hard task. In such context, this work presents a quality of service based management tool to help healthcare professionals supervising the network’s performance and to assist them managing the admission of new sensor nodes (i.e., patients to be monitored) to the biomedical wireless sensor network. The proposed solution proves to be a valuable tool both, to detect and classify potential harmful variations in the quality of service provided by the network, avoiding its degradation to levels where the biomedical signs would be useless; and to manage the admission of new patients to the network. Springer International Publishing 2014-05-09 /pmc/articles/PMC4039666/ /pubmed/24892000 http://dx.doi.org/10.1186/2193-1801-3-239 Text en © Abreu et al.; licensee Springer. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Abreu, Carlos Miranda, Francisco Ricardo, Manuel Mendes, Paulo Mateus QoS-based management of biomedical wireless sensor networks for patient monitoring |
title | QoS-based management of biomedical wireless sensor networks for patient monitoring |
title_full | QoS-based management of biomedical wireless sensor networks for patient monitoring |
title_fullStr | QoS-based management of biomedical wireless sensor networks for patient monitoring |
title_full_unstemmed | QoS-based management of biomedical wireless sensor networks for patient monitoring |
title_short | QoS-based management of biomedical wireless sensor networks for patient monitoring |
title_sort | qos-based management of biomedical wireless sensor networks for patient monitoring |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4039666/ https://www.ncbi.nlm.nih.gov/pubmed/24892000 http://dx.doi.org/10.1186/2193-1801-3-239 |
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