Development of an AI-Based Trusted Smart System for Cardiovascular Health Monitoring

Cardiovascular diseases (CVDs) are a major global health concern that requires early detection and continuous monitoring for effective treatment. This project aims to develop an AI-based smart system for real-time cardiovascular health monitoring. By analyzing PPG signals and applying AI algorithms, the system will enable accurate and non-invasive monitoring of blood pressure, arterial stiffness, and other relevant indicators, helping to prevent complications and improve healthcare outcomes.

Project objectives

The primary purpose of the project is to develop an AI-based trusted smart system (TSS) for real-time cardiovascular health monitoring, which will enable accurate, non-invasive measurement and prediction of physiological parameters such as blood pressure and arterial stiffness, based on photoplethysmography (PPG) signals.

The project objectives include: Developing novel pre-processing techniques and feature extraction algorithms for PPG signals. Designing an AI-powered real-time cardiovascular health monitoring system. Implementing a trusted smart system (TSS) prototype that enables real-time monitoring of cardiovascular parameters. Integrating AI algorithms with PPG signal analysis to improve the accuracy and reliability of cardiovascular health assessments.