Middleware Architecture for Health Sensors Interoperability

Quantified-self is a growing movement that stimulates users to monitor their health status for a better prevention of illnesses using a set of sensors. For reliable monitoring, it should be easy to retrieve sensors data despite the implemented communication protocol, standard or proprietary. In this...

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Main Authors: Nawras Georgi, Aline Corvol, Regine Le Bouquin Jeannes
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8358685/
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author Nawras Georgi
Aline Corvol
Regine Le Bouquin Jeannes
author_facet Nawras Georgi
Aline Corvol
Regine Le Bouquin Jeannes
author_sort Nawras Georgi
collection DOAJ
description Quantified-self is a growing movement that stimulates users to monitor their health status for a better prevention of illnesses using a set of sensors. For reliable monitoring, it should be easy to retrieve sensors data despite the implemented communication protocol, standard or proprietary. In this contribution, we propose a middleware that can be used by software developers to retrieve data from sensors without worrying about the communication protocol implemented by those sensors. This middleware takes into consideration data category, that is, wellness or medical. It also handles sensors reliability and legal framework. Six sensors, which implement one standard protocol and two proprietary ones, have been integrated to the middleware. They offer to measure 24 different data types, such as weight, blood pressure, or heart rate. The middleware manages also users' privacy.
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spelling doaj.art-dc516ac60ba149d98255163768b2293a2022-12-21T20:18:38ZengIEEEIEEE Access2169-35362018-01-016262832629110.1109/ACCESS.2018.28356448358685Middleware Architecture for Health Sensors InteroperabilityNawras Georgi0https://orcid.org/0000-0001-7136-2533Aline Corvol1Regine Le Bouquin Jeannes2Univ Rennes, Inserm, LTSI-UMR_S 1099, Rennes, FranceService de gériatrie, CHU Rennes, Rennes, FranceUniv Rennes, Inserm, LTSI-UMR_S 1099, Rennes, FranceQuantified-self is a growing movement that stimulates users to monitor their health status for a better prevention of illnesses using a set of sensors. For reliable monitoring, it should be easy to retrieve sensors data despite the implemented communication protocol, standard or proprietary. In this contribution, we propose a middleware that can be used by software developers to retrieve data from sensors without worrying about the communication protocol implemented by those sensors. This middleware takes into consideration data category, that is, wellness or medical. It also handles sensors reliability and legal framework. Six sensors, which implement one standard protocol and two proprietary ones, have been integrated to the middleware. They offer to measure 24 different data types, such as weight, blood pressure, or heart rate. The middleware manages also users' privacy.https://ieeexplore.ieee.org/document/8358685/Biomedical monitoringe-HealthinteroperabilityInternet of Thingswearable sensors
spellingShingle Nawras Georgi
Aline Corvol
Regine Le Bouquin Jeannes
Middleware Architecture for Health Sensors Interoperability
IEEE Access
Biomedical monitoring
e-Health
interoperability
Internet of Things
wearable sensors
title Middleware Architecture for Health Sensors Interoperability
title_full Middleware Architecture for Health Sensors Interoperability
title_fullStr Middleware Architecture for Health Sensors Interoperability
title_full_unstemmed Middleware Architecture for Health Sensors Interoperability
title_short Middleware Architecture for Health Sensors Interoperability
title_sort middleware architecture for health sensors interoperability
topic Biomedical monitoring
e-Health
interoperability
Internet of Things
wearable sensors
url https://ieeexplore.ieee.org/document/8358685/
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