Abstract
Advances in IoT technology have resulted in extensive use in mHealth applications. Especially, the use of wearable devices and smart home solutions has boosted the development of mHealth applications, even to domains where no one has dreamed for. From the other side, cloud-based computing is the only alternative to enable real-time remote monitoring, information exchange with the outer world, and access to enormous Big data applications. This is a real motivation for customers, since they crave a certain level of security that someone is monitoring their health with the latest technology and at the same time, it gives them a chance to prevent serious health damages, without lacking the freedom to operate in their daily activities and home environment. A lot of challenges are met to realize such a system, and this paper presents an overview of architectural approaches and organizational methods to realize a cloud-based mHealth IoT application that will cope with the Big data concept of incoming data streams with high velocity and volume.
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Gusev, M. (2021). Cloud-Based mHealth Streaming IoT Processing. In: Pop, F., Neagu, G. (eds) Big Data Platforms and Applications. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-38836-2_7
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DOI: https://doi.org/10.1007/978-3-030-38836-2_7
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