Artificial Intelligence of Things (AIoT) for Cardiac Healthcare: A Real-Time Monitoring Solution

Abstract

Cardiovascular diseases are one of the most common causes of death worldwide, and it often occurs very suddenly without any chance for medical intervention. These kind of scenarios can be mitigated by proactive monitoring. The current cardiac monitoring solutions for Cardiac IoT groups are typically limited to a set of parameters to be tracked, which fails in integrating AI and often requires physical presence during health data tracking while most patients prefer being checked from their homes so that they can avoid the hospital environment especially during global pandemics like COVID-19. Currently, in Pakistan there is no AIoT (Artificial Intelligence of Things) integrated system for a real time cardiac monitoring. This study introduce AIoT-enabled Cardiac Healthcare Monitoring System, intended for real-time monitoring remotely of vital cardiac parameters. It uses Heart Rate (HR), Oxygen Saturation (SpO₂), Body Temperature and Blood Pressure as key parameters along with presence of a Electrocardiogram signal to provide intelligent monitoring and predictive capabilities. Furthermore, the system generates alerts for anomalous readings and sends data on a cloud server so doctors can access patient history anywhere in the world – ensuring timely medical intervention and cost-effectively enabling healthcare delivery to vulnerable populations far from urban hospitals.