In this paper, we detail an in-home aggregation plateform for monitoring physiological parameters, and involving two objective physical sensors (bio-impedanceter and thermometer) and a subjective one (fatigue level perceived by the patient). This plateform uses modern IoT-related technologies such as embedded systems (Raspberry Pi and Arduino) and the MQTT communication protocol. Compared to many related works, monitoring is enterely achieved using a box as a central element, while the mobile device (tablet) is only used for controlling the acquisition procedure using a simple web browser, without any specific application. An example of a time stamped set of acquired data is shown, based on the in-home monitoring of healthy volunteers.
CITATION STYLE
Jamin, A., Fasquel, J. B., Lhommeau, M., Cornet, E., Abadie-Lacourtoisie, S., Henni, S., & Leftheriotis, G. (2016). An aggregation plateform for iot-based healthcare: Illustration for bioimpedancemetry, temperature and fatigue level monitoring. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 187, pp. 125–130). Springer Verlag. https://doi.org/10.1007/978-3-319-51234-1_20
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