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Smart City Healthcare Cyber Physical System: Characteristics, Technologies  and Challenges

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Publisher Springer
Date 2021 Aug 31
PMID 34462622
Citations 7
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Abstract

The recent pandemic has demanded a strong and smart healthcare system which can monitor the patients efficiently and handle the situation that arises from the outbreak of the disease. Smart healthcare cyber physical systems are the future systems as they integrate the physical and cyber world for efficient functioning of medical processes and treatment through external monitoring and control of patients, medical devices and equipment for continuous communication and information exchange of physiological data. Technologies like Internet of Things, Machine learning and Artificial Intelligence have given birth to smart cyber physical systems like Smart Healthcare Systems, Smart Homes, Smart Vehicular Systems and Smart Grid. Such systems are interdisciplinary in nature with multitude of technologies contributing to its effective working. This paper presents a case study on healthcare cyber physical systems presenting its characteristics, role of various technologies in its growth and major challenges in successful implementation of cyber physical medication systems.

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References
1.
Nasajpour M, Pouriyeh S, Parizi R, Dorodchi M, Valero M, Arabnia H . Internet of Things for Current COVID-19 and Future Pandemics: an Exploratory Study. J Healthc Inform Res. 2020; 4(4):325-364. PMC: 7659418. DOI: 10.1007/s41666-020-00080-6. View

2.
Pourhomayoun M, Shakibi M . Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-making. Smart Health (Amst). 2021; 20:100178. PMC: 7832156. DOI: 10.1016/j.smhl.2020.100178. View

3.
Dey J, Mukherjee S . Wireless COVID-19 Telehealth: Leukocytes Encryption Guided by Amino Acid Matrix. Wirel Pers Commun. 2021; 120(2):1769-1789. PMC: 8075279. DOI: 10.1007/s11277-021-08534-9. View