Research Article
An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring
@INPROCEEDINGS{10.1007/978-3-319-51234-1_20, author={Antoine Jamin and Jean-Baptiste Fasquel and Mehdi Lhommeau and Eva Cornet and Sophie Abadie-Lacourtoisie and Samir Henni and Georges Leftheriotis}, title={An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring}, proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers}, proceedings_a={HEALTHYIOT}, year={2017}, month={1}, keywords={IoT Healthcare Bio-impedancemetry MQTT Raspberry Pi Arduino}, doi={10.1007/978-3-319-51234-1_20} }- Antoine Jamin
Jean-Baptiste Fasquel
Mehdi Lhommeau
Eva Cornet
Sophie Abadie-Lacourtoisie
Samir Henni
Georges Leftheriotis
Year: 2017
An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring
HEALTHYIOT
Springer
DOI: 10.1007/978-3-319-51234-1_20
Abstract
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.