Book chapter
IoT based health monitoring system and its challenges and opportunities
AI and IoT for Sustainable Development in Emerging Countries, Vol.105, pp.403-415
Springer, Cham
2022
Abstract
With the incarnation of novel COVID-19, health care is getting more preference in each country. IoT-based health monitoring systems might be the best option to monitor infected patients and be helpful for elderly population. In this paper, analyzed different IoT-based health monitoring systems and their challenges. Searched through established journal and conference databases using specific keywords to find scholarly works to conduct the analysis. Investigated unique articles related to this analysis. The selected papers were then sifted through to understand their contributions/research focus. Then tried to find their research gap and challenges, created them into opportunities and proposed a GSM-based offline health monitoring system that will conduct with the healthcare providers through communication networks. Hopefully, this model will work as an absolute pathway for the researchers to establish a sustainable IoT-based health monitoring system for humankind.
Details
- Title
- IoT based health monitoring system and its challenges and opportunities
- Authors/Creators
- M.N. Bhuiyan (Author/Creator) - Noakhali Science and Technology UniversityMd. Masum Billah (Author/Creator)D. Saha (Author/Creator) - Noakhali Science and Technology UniversityM.M. Rahman (Author/Creator) - Islamic UniversityM. Kaosar (Author/Creator) - Murdoch University
- Contributors
- Z. Boulouard (Editor)M. Ouaissa (Editor)M. Ouaissa (Editor)S. El Himer (Editor)
- Publication Details
- AI and IoT for Sustainable Development in Emerging Countries, Vol.105, pp.403-415
- Publisher
- Springer, Cham
- Identifiers
- 991005540775207891
- Copyright
- © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Book chapter
- Additional Information
- Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 105)
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