Middleware Architecture for Health Sensors Interoperability

Nawras Georgi (1) , Aline Corvol (2, 3) , Regine Le Bouquin Jeannes (1)

1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 Centre Hospitalier Universitaire de Rennes [CHU Rennes] = Rennes University Hospital [Ponchaillou]
3 ARENES - Arènes: politique, santé publique, environnement, médias

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.

Mots clés: Wearable sensors; Biomedical monitoring; E-Health; Interoperability; Internet of Things

Mots clés: Capteurs

Domaines: Traitement du signal et de l'image [eess.SP]; Ingénierie biomédicale

Nawras Georgi, Aline Corvol, Regine Le Bouquin Jeannes. Middleware Architecture for Health Sensors Interoperability. IEEE Access, 2018, 6, pp.26283-26291. ⟨10.1109/ACCESS.2018.2835644⟩. ⟨hal-01832980⟩