An Analysis of IOT-Based Solutions for Congenital Heart Disease Monitoring and Prevention

Abstract – Heart disease continues to be a leading cause of death worldwide, emphasizing the crucial need for early detection and continuous monitoring. This innovative project presents an intelligent, real-time heart disease prediction system integrating multiple biomedical sensors with Internet of Things (IoT) technology and artificial `intelligence (AI). The system uses an Arduino microcontroller to gather real time physiological data from various sensors, including a blood pressure sensor (which provides both systolic and diastolic readings), a heartbeat sensor, a SpO2 sensor, an electrocardiogram (ECG) sensor, and a temperature sensor. The gathered data is sent through a cloud-based IoT system for storage and monitoring, facilitating efficient data analysis. Key Words: Heart Disease Prediction, Real-time Monitoring, Biomedical Sensors, Internet of Things (IoT), Artificial Intelligence (AI).