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

IoT-Based Remote Monitoring Systems for Elderly Healthcare

Dr. Sofia Chen
Associate Professor of AI in Healthcare, University of Toronto, Canada
Cover

Published 16-04-2024

Keywords

  • IoT,
  • future prospects,
  • ethical considerations,
  • elderly healthcare,
  • independent living

How to Cite

[1]
Dr. Sofia Chen, “IoT-Based Remote Monitoring Systems for Elderly Healthcare”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 1, pp. 1–8, Apr. 2024, Accessed: Dec. 27, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/2

Abstract

The aging population presents a growing challenge for healthcare systems worldwide. IoT-based remote monitoring systems offer a promising solution to enhance elderly healthcare by providing continuous, non-intrusive monitoring in a cost-effective manner. This research explores the design, implementation, and benefits of IoT-based remote monitoring systems tailored for elderly healthcare to enhance independent living. The paper examines the technologies involved, the challenges faced, and the future prospects of IoT in elderly healthcare. It also discusses ethical considerations and the importance of user-centered design in developing these systems.

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References

  1. 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.
  2. 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.
  3. Kolay, Srikanta, Kumar Sankar Ray, and Abhoy Chand Mondal. "K+ means: An enhancement over k-means clustering algorithm." arXiv preprint arXiv:1706.02949 (2017).
  4. Shiwlani, Ashish, et al. "Synergies of AI and Smart Technology: Revolutionizing Cancer Medicine, Vaccine Development, and Patient Care." International Journal of Social, Humanities and Life Sciences 1.1 (2023): 10-18.
  5. Pillai, Aravind Sasidharan. "Multi-label chest X-ray classification via deep learning." arXiv preprint arXiv:2211.14929 (2022).
  6. 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.
  7. 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.
  8. Venigandla, Kamala, and Venkata Manoj Tatikonda. "Improving Diagnostic Imaging Analysis with RPA and Deep Learning Technologies." Power System Technology 45.4 (2021).
  9. Pargaonkar, Shravan. "A Review of Software Quality Models: A Comprehensive Analysis." Journal of Science & Technology 1.1 (2020): 40-53.
  10. Shiwlani, Ashish, et al. "REVOLUTIONIZING HEALTHCARE: THE IMPACT OF ARTIFICIAL INTELLIGENCE ON PATIENT CARE, DIAGNOSIS, AND TREATMENT." JURIHUM: Jurnal Inovasi dan Humaniora 1.5 (2024): 779-790.