Breaking Barriers in Emerging Biomedical Applications

Entropy

Konstantinos Katzis¹  Gordana Gardašević²  Olivera Šveljo³  Lazar Berbakov⁴ 

[1] Department of Computer Science and Engineering, European University Cyprus, Nicosia 2404, Cyprus;Faculty of Electrical Engineering, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina;Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia;Institute Mihajlo Pupin, University of Belgrade, 11060 Belgrade, Serbia;

关键词: biomedical;    smart healthcare;    Internet of Things;    image compression;    entropy;    emerging technologies;   

DOI  :  10.3390/e24020226

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown