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An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring

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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.

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Acknowledgement

This work is granted by the french league against cancer (“ligue contre le cancer 49”), with clinical trials identifier NCT02161978. Authors thank Franck Mercier, research engineer at LARIS-ISTIA-University of Angers, for the development of some hardware elements of the box. Thanks to the students of the engineering school ISTIA who participated to software developments: Mehdi Bellaj, Pierre Cochard, Mathieu Colas, Antoine Jouet, Audrey Lebret, Julien Monnier, Alexandre Ortiz, Dimitri Robin and Alexis Teixeira.

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Correspondence to Jean-Baptiste Fasquel .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Jamin, A. et al. (2016). An Aggregation Plateform for IoT-Based Healthcare: Illustration for Bioimpedancemetry, Temperature and Fatigue Level Monitoring. In: Ahmed, M., Begum, S., Raad, W. (eds) Internet of Things Technologies for HealthCare. HealthyIoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-51234-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51233-4

  • Online ISBN: 978-3-319-51234-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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