Published Paper Details:

In today's rapidly evolving healthcare landscape, the need for continuous and remote monitoring of patients has become increasingly critical. This paper presents the design and implementation of an IoT-based health monitoring system using a Raspberry Pi microcontroller integrated with biomedical sensors to measure key vital signs such as body temperature, heart rate, oxygen saturation (SpO2), blood pressure, and ECG signals. The system utilizes an OLED display for real-time local monitoring and leverages the Adafruit IO cloud platform to transmit sensor data wirelessly, allowing healthcare professionals to remotely monitor patient health parameters from any location. The integration of IoT technology with low-power, non-invasive sensors ensures an efficient, portable, and cost-effective solution, especially beneficial for home-based patient care and rural health centers. Doctors can access the live data remotely and provide instant medical feedback or prescriptions based on the patient's condition. The system enhances medical response time, supports early diagnosis, and ensures continuous patient observation, ultimately improving the quality of healthcare services.