Abstract
Medical telemonitoring is an undergoing development field all over the world. We propose in this paper our novel platform I\(^{2}\)PHEN (IoT Interoperable Platform for low power HEalth moNitoring) that allows the monitoring of a patient’s health parameters using connected objects (blood pressure monitor, thermometer, glucometer, ...) which communicate with the remote platform. The central server can then trigger alerts that were previously defined with the medical teams. For our platform we chose the LPWAN networks (Low-Power Wide Area Network) that offer a cost-effective alternative and are less expensive in terms of energy than cellular networks for transmitting small amounts of data from sensors and energy efficient battery powered objects over long distances. This field being new, and not widely used in the medical area, it is necessary to propose new solutions to remove some scientific barriers. The first obstacle is the availability and the reliability of these new networks, and more generally obtaining a better quality of service (QoS) necessary in the critical area of telemedicine: our COMMA first protocol is an answer. The second obstacle, and probably the most difficult, is to propose interoperable solutions in which connected objects can interact, through these new networks, with the remote platform using a local gateway: our MARC protocol is the answer.
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
References
Freed, J., Lowe, C., Flodgren, G., Binks, R., Doughty, K., Kolsi, J.: Telemedicine: is it really worth it? A perspective from evidence and experience. J. Innov. Health Inform. (2018)
Wootton, R.: Telemedicine. Br. Med. J. 323, 557–650 (2001)
Klaassen, B., et al.: Usability in telemedicine systems-a literature survey. Int. J. Med. Inform. 93, 57–69 (2016)
Agarwal, S., Lau, C.T.: Remote health monitoring using mobile phones and web services. Telemed. eHealth 16, 603–607 (2010)
Zhang, X.M., Zhang, N.: An open, secure and flexible platform based on internet of things and cloud computing for ambient aiding living and telemedicine. In: International Conference on Computer and Management (CAMAN), pp. 1–4 (2011)
Jovanov, E., et al.: A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. J. NeuroEngineering Rehabil. 2, 6 (2005)
Istepanian, H., et al.: The potential of internet of m-health things m-IoT for non-invasive glucose level sensing. In: 33rd Annual International Conference of the IEEE EMBS, pp. 5264–5266 (2011)
Ismail, D., et al.: Low-power wide-area networks: opportunities, challenges, and directions. In: Workshops ICDCN 2018, p. 8 (2018)
BI Intelligence. The global market for IoT healthcare tech will top \$400 billion in 2022 (2016)
Surville, A.: Objets connectés et dispositifs médicaux connectés: Principaux outils disponibles à la pratique de la médecine générale en france en 2018 (2018)
Carroll, R., et al.: Continua: an interoperable personal healthcare ecosystem. IEEE Perv. Comput. 6, 90–94 (2007)
Wartena, F., et al.: Continua: the reference architecture of a personal telehealth ecosystem. In: The 12th IEEE International Conference on e-Health Networking, Applications and Services, pp. 1–6 (2010)
Vangelista, L., Zanella, A., Zorzi, M.: Long-range IoT technologies: the dawn of LoRa™. In: Atanasovski, V., Leon-Garcia, A. (eds.) FABULOUS 2015. LNICST, vol. 159, pp. 51–58. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-27072-2_7
CEPT member. Relating to the use of short range devices. ERC RECOMMENDATION 70–03 (2018)
Hauser, V., Hegr, T.: Proposal of adaptive data rate algorithm for lorawan-based infrastructure. In: International Conference on Future Internet of Things and Cloud, pp. 85–90 (2017)
Slabicki, M., et al.: Adaptive configuration of lora networks for dense IoT deployments. In: IFIP Network Operations and Management Symposium, pp. 1–9 (2018)
Bellini, B., Amaud, A.: A 5 \(\mu {\rm A}\) wireless platform for cattle heat detection. In: 8th IEEE Latin American Symposium on Circuits & Systems (LASCAS), pp. 1–4 (2018)
Saha, P.: Design and implementation of continua compliant wireless medical gateway (2016)
Marian, B., Lothar, S.: Using continua health alliance standards. In: 12th IEEE International Conference on Mobile Data Management (2011)
Hayati, N., Suryanegara, M.: The IoT LoRa system design for tracking and monitoring patient with mental disorder. In: IEEE International Conference on Communication, Networks and Satellite (Comnetsat), pp. 135–139 (2017)
Kharel, J., et al.: Fog computing-based smart health monitoring system deploying lora wireless communication. IETE Tech. Rev. 36, 69–82 (2018)
Hristoskova, A., et al.: Ontology-driven monitoring of patients vital signs enabling personalized medical detection and alert. Sensors 2014, 1598–1628 (2014)
Fargas, B.C., et al.: GPS-free geolocation using LoRa in low-power WANs. In: Proceedings of 2017 Global Internet of Things Summit (GIoTS), pp. 1–6 (2017)
Acknowledgement
The authors thank the French Government, the MainCare Solution Company and CNRS (French National Center for Scientific Research) for co-financing this work.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Picard, A., Lapayre, JC., Pottayya, R.M., Garcia, E. (2019). I\(^{2}\)PHEN: A Novel Interoperable IoT Platform for Medical Telemonitoring. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2019. Lecture Notes in Computer Science(), vol 11792. Springer, Cham. https://doi.org/10.1007/978-3-030-30949-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-30949-7_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30948-0
Online ISBN: 978-3-030-30949-7
eBook Packages: Computer ScienceComputer Science (R0)