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Wireless sensor networks for ambient assisted living.

Identifieur interne : 000220 ( PubMed/Checkpoint ); précédent : 000219; suivant : 000221

Wireless sensor networks for ambient assisted living.

Auteurs : Raúl Aquino-Santos [Mexique] ; Diego Martinez-Castro ; Arthur Edwards-Block ; Andrés Felipe Murillo-Piedrahita

Source :

RBID : pubmed:24351665

Descripteurs français

English descriptors

Abstract

This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.

DOI: 10.3390/s131216384
PubMed: 24351665


Affiliations:


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pubmed:24351665

Le document en format XML

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<nlm:affiliation>College of Telematics, University of Colima, Avenida Universidad 333, C. P. 28045 Colima, Col., Mexico. aquinor@ucol.mx.</nlm:affiliation>
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<name sortKey="Murillo Piedrahita, Andres Felipe" sort="Murillo Piedrahita, Andres Felipe" uniqKey="Murillo Piedrahita A" first="Andrés Felipe" last="Murillo-Piedrahita">Andrés Felipe Murillo-Piedrahita</name>
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<div type="abstract" xml:lang="en">This paper introduces wireless sensor networks for Ambient Assisted Living as a proof of concept. Our workgroup has developed an arrhythmia detection algorithm that we evaluate in a closed space using a wireless sensor network to relay the information collected to where the information can be registered, monitored and analyzed to support medical decisions by healthcare providers. The prototype we developed is then evaluated using the TelosB platform. The proposed architecture considers very specific restrictions regarding the use of wireless sensor networks in clinical situations. The seamless integration of the system architecture enables both mobile node and network configuration, thus providing the versatile and robust characteristics necessary for real-time applications in medical situations. Likewise, this system architecture efficiently permits the different components of our proposed platform to interact efficiently within the parameters of this study.</div>
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