IoT Based Health Monitoring System Using Arduino and FPGA

Abstract This project presents the development of an IoT-based health monitoring system designed to continuously track two critical health parameters: temperature and heart rate. The system makes use of temperature and pulse sensors, with data being processed by an ADC Analog to Digital Converter before being analysed on an FPGA coded in Verilog language. The FPGA processes raw sensor data to extract meaningful health insights, with condition assessment verified through Vivado simulations. Additionally, an Arduino-based circuitry displays real-time results on an LCD. As an IoT-enabled system, a Wi-Fi module uploads patient data to the cloud, enabling remote monitoring by healthcare professionals via mobile or web platforms. This system enhances patient health management, offers potential applications in critical care and contributes to life-saving interventions, particularly in pandemic scenarios like COVID-19.