IOT Based Health Monitoring System (Wired)

The IoT-based health monitoring system described in this work is intended to provide continuous, real-time patient monitoring with improved data security, scalability, and dependability. IoT technologies have demonstrated tremendous promise in tackling the difficulties of remote health monitoring, particularly for vulnerable populations, in the face of rising healthcare needs. This system is perfect for medical settings where interference is an issue since it uses a wired network and a master-slave design to enable secure and reliable data transmission over long distances. Important parts that regulate the gathering, processing, and communication of sensor data include the Raspberry Pi Pico as the central processing unit and ATmega8 microcontrollers acting as master and slave controllers. Data integrity is ensured via the RS485 standard, which makes long-distance data transfer easier while reducing signal deterioration. This system effectively tracked patient body temperature in both hardware and simulation setups, proving its scalability and resilience for bigger healthcare settings. Future developments will improve patient data accessibility for families and healthcare professionals by including more sensors, AI-based health analytics, and a secure mobile app. This study intends to influence future advancements in safe, scalable healthcare IoT solutions while confirming the viability and impact of IoT technology in changing patient monitoring.