Vol. 4 No. 1 (2024): Journal of Machine Learning in Pharmaceutical Research
Articles

IoT-Driven Ambient Assisted Living Systems for Elderly Healthcare

Dr. Javier Hernandez
Professor, AI Applications in Healthcare, Iberian College, Madrid, Spain
Cover

Published 16-04-2024

Keywords

  • IoT,
  • ambient assisted living,
  • elderly healthcare,
  • independent living

How to Cite

[1]
Dr. Javier Hernandez, “IoT-Driven Ambient Assisted Living Systems for Elderly Healthcare”, Journal of Machine Learning in Pharmaceutical Research, vol. 4, no. 1, pp. 9–18, Apr. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://pharmapub.org/index.php/jmlpr/article/view/5

Abstract

This paper explores the use of Internet of Things (IoT)-driven ambient assisted living (AAL) systems in the context of elderly healthcare. AAL systems are designed to support the needs of the elderly population, enabling them to live independently and safely in their own homes. By integrating IoT technologies, these systems can monitor the health and well-being of elderly individuals, provide assistance in daily activities, and alert caregivers or healthcare providers in case of emergencies. This paper reviews the current state of AAL systems, discusses the benefits and challenges of IoT integration, and presents case studies and examples of successful implementations. The aim is to provide insights into how IoT-driven AAL systems can improve the quality of life for the elderly and support the healthcare industry in addressing the needs of an aging population.

Downloads

Download data is not yet available.

References

  1. i Pulimamidi, R., and P. Ravichandran. "Enhancing Healthcare Delivery: AI Applications In Remote Patient Monitoring." Tuijin Jishu/Journal of Propulsion Technology 44.3: 3948-3954.
  2. ii Pargaonkar, Shravan. "The Crucial Role of Inspection in Software Quality Assurance." Journal of Science & Technology 2.1 (2021): 70-77.
  3. iii Venigandla, Kamala, and Venkata Manoj Tatikonda. "Improving Diagnostic Imaging Analysis with RPA and Deep Learning Technologies." Power System Technology 45.4 (2021).
  4. iv Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.
  5. v Khan, Murad, et al. "AI-POWERED HEALTHCARE REVOLUTION: AN EXTENSIVE EXAMINATION OF INNOVATIVE METHODS IN CANCER TREATMENT." BULLET: Jurnal Multidisiplin Ilmu 3.1 (2024): 87-98.