Analytical Studies on the Effectiveness of IoMT for Healthcare Systems

Authors

  • Md Alimul Haque Department of Computer Science, Veer Kunwar Singh University, Ara - 802301, India https://orcid.org/0000-0002-0744-0784
  • Sultan Ahmad Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj - 11942, Saudi Arabia
  • Deepa Sonal Department of Computer Science, Patna Women’s College, Patna, India 4AL – Hafeez College, Ara – 802301, India https://orcid.org/0000-0002-2485-6140
  • Shameemul Haque AL – Hafeez College, Ara – 802301, India https://orcid.org/0000-0001-8078-8499
  • Kailash Kumar College of Computing and Informatics, Saudi Electronic University, Riyadh, Kingdom of Saudi Arabia https://orcid.org/0000-0003-2916-719X
  • Moidur Rahman College of Computer Science and Information Technology, Jazan University, Jizan, Kingdom of Saudi Arabia

DOI:

https://doi.org/10.24996/ijs.2023.64.9.34

Keywords:

m-Health, Internet of Medical Things, COVID - 19, Healthcare professional

Abstract

     The Internet of Things (IoT) has great importance in the medical industry. The creation of intelligent sensors, intelligent machines, and superior algorithms for lightweight communication made it feasible to connect medical equipment in order to monitor biomedical signals and also to detect illnesses in patients without human intervention. This new IoT and medical equipment connection is called IoMT. This IoMT model is most adapted to this pandemic since every human being has to be interconnected and monitored via a larger communication network. Hence, this article provides an overview of remote healthcare systems, monitoring ingestible sensors, mobile health, smart hospitals, and improved chronic disease management focused on the Internet of Medical Things. Finally, this paper proposes an IoMT architecture and platform to assist with persistent healthcare.

 

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Published

2023-09-30

Issue

Section

Computer Science

How to Cite

Analytical Studies on the Effectiveness of IoMT for Healthcare Systems. (2023). Iraqi Journal of Science, 64(9), 4719-4728. https://doi.org/10.24996/ijs.2023.64.9.34

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