Internet of Medical Things and Healthcare 4.0: Trends, Requirements, Challenges, and Research Directions

被引:44
|
作者
Osama, Manar [1 ]
Ateya, Abdelhamied A. [1 ,2 ]
Sayed, Mohammed S. [1 ,3 ]
Hammad, Mohamed [2 ,4 ]
Plawiak, Pawel [5 ,6 ]
Abd El-Latif, Ahmed A. [2 ,7 ]
Elsayed, Rania A. [1 ]
机构
[1] Zagazig Univ, Dept Elect & Commun Engn, Zagazig 44519, Egypt
[2] Prince Sultan Univ, Coll Comp & Informat Sci, EIAS Data Sci Lab, Riyadh 11586, Saudi Arabia
[3] Egypt Japan Univ Sci & Technol, Dept Elect & Commun Engn, Alexandria 21934, Egypt
[4] Menoufia Univ, Fac Comp & Informat, Dept Informat Technol, Shibin Al Kawm 32511, Egypt
[5] Cracow Univ Technol, Fac Comp Sci & Telecommun, Dept Comp Sci, Warszawska 24, PL-31155 Krakow, Poland
[6] Polish Acad Sci, Inst Theoret & Appl Informat, Baltycka 5, PL-44100 Gliwice, Poland
[7] Menoufia Univ, Fac Sci, Dept Math & Comp Sci, Shibin Al Kawm 32511, Egypt
关键词
Internet of Medical Things; Healthcare; 4.0; artificial intelligence; distributed edge computing; 5G; e-health; PRIVACY ISSUES; IMPLEMENTATION; SECURITY; SENSORS; EMG;
D O I
10.3390/s23177435
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on the patient's characteristics. Moreover, Healthcare 4.0 enables telemedicine, including telesurgery, early predictions, and diagnosis of diseases. This represents an important paradigm for modern societies, especially with the current situation of pandemics. The release of the fifth-generation cellular system (5G), the current advances in wearable device manufacturing, and the recent technologies, e.g., artificial intelligence (AI), edge computing, and the Internet of Things (IoT), are the main drivers of evolutions of Healthcare 4.0 systems. To this end, this work considers introducing recent advances, trends, and requirements of the Internet of Medical Things (IoMT) and Healthcare 4.0 systems. The ultimate requirements of such networks in the era of 5G and next-generation networks are discussed. Moreover, the design challenges and current research directions of these networks. The key enabling technologies of such systems, including AI and distributed edge computing, are discussed.
引用
收藏
页数:36
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