Affiliation:
1. Rajalakshmi Engineering College, India
2. Sri Sairam College of Engineering, India
3. Chennai Institute of Technology, India
4. Yanbu Industrial College, Saudi Arabia
Abstract
This chapter explores the integration of artificial intelligence of things (AIoT) with tele-health monitoring, presenting an intelligent remote patient activity tracking system. Using interconnected sensors and machine learning models, the system monitors various patient activities and vital signs, providing real-time insights. The proposed AIoT-enabled health monitoring device tracks activities such as running, sleeping, walking, and exercising, while observing vital signs like heart rate and breathing patterns. The chapter delves into the system's architecture, functionalities, and technical intricacies, emphasizing its potential to transform healthcare delivery. It highlights the role of AIoT-driven solutions in enhancing patient care and fostering personalized treatment approaches, offering a glimpse into the promising future of intelligent healthcare delivery.