Agrégation de données d’un réseau de capteurs physiologiques

Abstract

Physiological sensors network data aggregation Taken independently, the data produced by physiological sensors have many applications. However, only a tight integration of the signals will provide a global comprehension of the health status of an individual. In this article, we share our experience acquired when building a network of physiological sensors connected to the Arduino platform. We have conceived an architecture integrating captors, going from the connection to the manipulation of the produced data. Four key requirements have been identified: On the one hand, to provide a plug and play connectivity, and to communicate the data stream in a coherent way. On the other hand, to aggregate several data streams and to present these streams in a coherent manner. We propose to deal with the connection issue by delegating the responsibility to a remote platform. The data transfer itself will be done based on the existing standards. The automatic data aggregation is possible through a set of rules and algorithms. Finally, the visualisation can be done by associating every signal to a specific visualisation widget. The connection of heterogeneous sensors is a complex task. In this article, we propose a concrete end to end solutions to the main challenges.