Abstract
The spread of Internet-of-Things (IoT) in domains like health monitoring and the success of cloud services have pushed the horizon of new computing paradigms, such as wearable computing, with health monitoring systems being found in smart homes, hospitals or sports devices. The deployment of off-the-shelf sensors to support monitoring of health functionality, physiology, and activity, can yield to identify health risks. Still, there are several technological challenges to be addressed before biosensor systems with smart healthcare services can be widely adopted. This work addresses latest developments in Smart Health applications, focusing on technical challenges from both system and service perspectives in the context of wearable and medical IoT. We classify relevant publications from the last five years by parameters in the IoT paradigm, including the wearable technology, vital signs, service identification, and IoT computing models such as edge, fog, and cloud. Our findings show that the development faces a lack of system standardization and that data processing moves from servers or cloud locations toward the devices. Second, we examine the challenges present in this domain, the main ones identified are security, privacy, and energy efficiency.
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The research has received funding from the EU ECSEL JU under the H2020 Framework Programme, JU grant no. 783163 (project iDev40), no. 826452 (project Arrowhead Tools), and from the partner’s national programs/funding authorities.
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Schnell, B., Moder, P., Ehm, H., Konstantinov, M., Ismail, M. (2022). Challenges in Smart Health Applications Using Wearable Medical Internet-of-Things—A Review. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_27
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