Abstract
The recent global COVID-19 pandemic has revealed that the current healthcare system in modern society can hardly cope with the increased number of patients. Part of the load can be alleviated by incorporating smart healthcare infrastructure in the current system to enable patient’s remote monitoring and personalized treatment. Technological advances in communications and sensing devices have enabled the development of new, portable, and more power-efficient biomedical sensors, as well as innovative healthcare applications. Nevertheless, such applications require reliable, resilient, and secure networks. This paper aims to identify the communication requirements for mass deployment of such smart healthcare sensors by providing the overview of underlying Internet of Things (IoT) technologies. Moreover, it highlights the importance of information theory in understanding the limits and barriers in this emerging field. With this motivation, the paper indicates how data compression and entropy used in security algorithms may pave the way towards mass deployment of such IoT healthcare devices. Future medical practices and paradigms are also discussed.
Highlights
We contribute under the following perspectives: (1) by providing an overview of the state-of-the-art and emerging biomedical applications, and their communication requirements; (2) by reviewing different communication technologies and standards commonly used in the medical application; (3) by highlighting the benefits of advanced concepts such as Machine Learning (ML), Big Data Analytics (BDA), Software Defined Networking (SDN), biometric technologies, Blockchain, and Cloud/Edge/Fog computing, as foundations of Internet of Things (IoT) for biomedical and healthcare domain
Low Rate Wireless Personal Area Network (LR-Wireless Personal Area Network (WPAN)) communication protocols are used in scenarios characterized with low data rate requirements, where the focus is more on the higher energy efficiency than the data throughput
Hospitals cannot admit an increasing number of patients, and the healthcare system is required to provide its services at a home environment or temporary hospital
Summary
By building upon the initial momentum of fitness applications, these new devices allowed the wider usage of smart health applications in the general population. There is no doubt that these trends will contribute to a significant increase in the number of people needing support due to their disabilities and chronic diseases Many of these patients can be successfully treated at home environment, allowing elderly and disabled people to have better life quality and at the same time the burden on the healthcare system is reduced. (1) by providing an overview of the state-of-the-art and emerging biomedical applications, and their communication requirements; (2) by reviewing different communication technologies and standards commonly used in the medical application; (3) by highlighting the benefits of advanced concepts such as Machine Learning (ML), Big Data Analytics (BDA), Software Defined Networking (SDN), biometric technologies, Blockchain, and Cloud/Edge/Fog computing, as foundations of IoT for biomedical and healthcare domain
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