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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Borgia, E.: The internet of things vision: key features, applications and open issues. Comput. Commun. 54, 1–31 (2014)
Yin, Y., Zeng, Y., Chen, X., Fan, Y.: The internet of things in healthcare: an overview. J. Ind. Inf. Integr. 1, 3–13 (2016)
Message Queuing Telemetry Transport (MQTT). http://mqtt.org
Barata, D., Louzada, G., Carreiro, A., Damasceno, A.: System of acquisition, transmission, storage and visualization of pulse oximeter and ECG data using android and MQTT. Procedia Technol. 9, 1265–1272 (2013)
Bioparhom. http://www.bioparhom.com/en
Hacks, C.: e-Health Sensor Plateform. http://www.cooking-hacks.com
Hussaina, A., Wenbia, R., da Silvab, A.L., Nadhera, M., Mudhisha, M.: Health and emergency-care platform for the elderly and disabled people in the Smart City. J. Syst. Softw. 110, 253–263 (2015)
Mano, L.Y., Faical, B.S., Nakamura, L.H.V., Gomes, P.H., Libralon, G.L., Meneguete, R.I., Filho, G.P.R., Giancristofaro, G.T., Pessin, G., Krishnamachari, B., Ueyama, J.: Exploiting IoT technologies for enhancing Health Smart Homes through patient identification and emotion recognition. Comput. Commun., 1–13 (2016)
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.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-51234-1_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51233-4
Online ISBN: 978-3-319-51234-1
eBook Packages: Computer ScienceComputer Science (R0)