A DESIGN OF HEALTH MONITORING SYSTEM BASED ON IOT WITH MACHINE LEARNING ALGORITHM
Keywords:
Wearable technology, Health monitoring, IoT connectivity, Arduino Uno, Vital signs, Fall detection, Predictive insights, Remote monitoring.Abstract
This project presents an Arduino Uno-based wearable health monitoring system that continuously tracks
vital signs like heart rate, SpO2 levels, and body temperature, while also incorporating a fall detection sensor for
added safety. Leveraging IoT connectivity, the device enables real-time remote monitoring of health data,
facilitating prompt intervention by healthcare professionals or family members. Machine learning algorithms
analyze collected data to offer predictive insights and personalized care suggestions. With a user-friendly design
featuring a display unit for immediate feedback, wearers can actively engage with their health data and seek
guidance when needed, aiming to improve overall well-being and advance personalized healthcare solutions.
