Smart Health Monitoring System for Home Applications
10.15660/AUOFMTE.2024-1.3684
H H Sayed, B István
Volume XXXIII, 2024/1
This paper presents the development of a health monitoring system prototype that integrates five essential sensors-heart rate, pulse oximetry, temperature, galvanic skin response (GSR), and blood glucose-using a Raspberry Pi 5 microcontroller, a mobile application, and machine learning algorithms. The system is designed to address the rising demand for accessible, real-time health monitoring, particularly for individuals with chronic conditions. The prevalence of chronic diseases and the high cost of frequent hospital visits underscore the need for affordable alternatives, making this system an efficient and user-friendly solution for continuous health monitoring.
health monitoring home raspberry heart rate pulse oximetry temperature galvanic skin response GSR and blood glucose
ISSN 1583-0691, CNCSIS "Clasa B+"