Paper Title
IoT-Enabled Proactive Cardiovascular Health Monitoring Using Cloud Computing and DDPG-Based Intelligent Models

Abstract
Heart diseases (CVDs) are among the major killers globally, thus there is an absolute need for intelligent, continuous, and proactive health monitoring solutions. With the Internet of Things (IoT), cloud computing, and artificial intelligence, realtime healthcare systems that support early disease detection and personalized intervention have become a reality. In this paper, we propose an IoT-based proactive cardiovascular health monitoring system with wearable sensors, cloud-based analytics, and a Deep Deterministic Policy Gradient (DDPG)based reinforcement learning model, which is the latest trend in health care. The system at the heart of the research paper gathers physiological data such as heart rate, blood pressure, ECG, oxygen saturation, and respiratory rate in the most seamless way from the user’s wearable IoT devices and securely stores it in the cloud. The authors argue that the reinforcement learning model that uses Deep Deterministic Policy Gradient (DDPG) learns the individual’s health patterns by accumulating data over time and hence can accurately predict any changes or irregularities in the cardiovascular system while at the same time, equivocal alerting is reduced to minimum level. Cloud architecture is scalable and secure, and through it, data can be accessed in real-time, therefore, it is possible to send low-latency alerts for critical cases. Based on the results on the simulated and real-world datasets, it is imperative to state that the proposed method achieves higher accuracy in early detection, produces fewer false positives, and leads to better personalized healthcare outcomes. This study proves making use of IoT, cloud computing, and reinforcement learning in conjunction is a very effective way to come up with the preventive cardiovascular healthcare of the next generation. Keywords - Internet of Things (IoT), Cardiovascular Disease, Cloud Computing, Deep Deterministic Policy Gradient (DDPG), Reinforcement Learning, Wearable Sensors, Proactive Healthcare