Vol. 4 No. 1 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

IoT-Driven Remote Monitoring of Respiratory Health Parameters

Aditya Pratap Singh
Assistant Professor, PES University, Bangalore
Cover

Published 16-04-2024

Keywords

  • IoT,
  • health,
  • healthcare

How to Cite

[1]
Aditya Pratap Singh, “IoT-Driven Remote Monitoring of Respiratory Health Parameters”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 18–27, Apr. 2024, Accessed: Nov. 07, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/1

Abstract

The use of Internet of Things (IoT) technology in healthcare has revolutionized remote patient monitoring, offering continuous and real-time tracking of vital health parameters. This research paper explores the application of IoT-driven remote monitoring systems for tracking respiratory health parameters. It examines the current landscape of respiratory health monitoring, the challenges faced, and the opportunities presented by IoT technology. The paper reviews existing IoT-based solutions, discusses their advantages and limitations, and proposes future directions for research and development. 

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References

  1. Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
  2. Venigandla, Kamala. "Integrating RPA with AI and ML for Enhanced Diagnostic Accuracy in Healthcare." Power System Technology 46.4 (2022).
  3. Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
  4. Dutta, Ashit Kumar, et al. "Deep learning-based multi-head self-attention model for human epilepsy identification from EEG signal for biomedical traits." Multimedia Tools and Applications (2024): 1-23.
  5. Pillai, Aravind Sasidharan. "Advancements in Natural Language Processing for Automotive Virtual Assistants Enhancing User Experience and Safety." Journal of Computational Intelligence and Robotics 3.1 (2023): 27-36.
  6. Kolay, Srikanta, Kumar Sankar Ray, and Abhoy Chand Mondal. "K+ means: An enhancement over k-means clustering algorithm." arXiv preprint arXiv:1706.02949 (2017).
  7. Buddha, Govind Prasad, and Rahul Pulimamidi. "The Future Of Healthcare: Artificial Intelligence's Role In Smart Hospitals And Wearable Health Devices." Tuijin Jishu/Journal of Propulsion Technology 44.5 (2023): 2498-2504.
  8. Pillai, Aravind Sasidharan. "Traffic Surveillance Systems through Advanced Detection, Tracking, and Classification Technique." International Journal of Sustainable Infrastructure for Cities and Societies 8.9 (2023): 11-23.