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Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19

Girish Talmele, Urmila Shrawankar

Source Title: International Journal of Web-Based Learning and Teaching Technologies (IJWLTT)17(5)

ISSN: 1548-1093|EISSN: 1548-1107|EISBN13: 9781799893547|DOI: 10.4018/IJWLTT.297622

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MLA

Talmele, Girish, and Urmila Shrawankar. "Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19." IJWLTT vol.17, no.5 2022: pp.1-10. http://doi.org/10.4018/IJWLTT.297622

APA

Talmele, G. & Shrawankar, U. (2022). Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 17(5), 1-10. http://doi.org/10.4018/IJWLTT.297622

Chicago

Talmele, Girish, and Urmila Shrawankar. "Real-Time Cyber-Physical System for Healthcare Monitoring in COVID-19," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 17, no.5: 1-10. http://doi.org/10.4018/IJWLTT.297622

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Abstract

The Cyber Physical System (CPS) is used to integrate physical processes with computation and communication. Recent advances in internet of things; cloud computing and machine learning is making cyber physical system an emerging technology in healthcare system. This paper present real time cyber physical system framework for healthcare monitoring system plays major role in pandemics such as Covid-19. The system processes real time patient’s critical data such as blood sugar, blood pressure, temperature used to save life of patients. The real time processing done at the sensor node using real time tasks scheduling. The sensor node data get analyze on fog nodes taking time critical actions. The healthcare data then send using Kafka real time streaming using Kafka pipeline. The processing of healthcare data using Spark in real time done at Hadoop Distributed File System (HDFS) on cloud .