Intelligent Cardiovascular Disease Diagnosis and Monitoring System

A novel system integrating electrochemical impedance spectroscopy with AI, IoT, blockchain, and nanomaterials for accurate cardiovascular disease diagnosis, monitoring, and personalized health recommendations.

The original patent addressed the limitations of conventional plaque rupture detection methods, but it lacked the integration of advanced technologies to enhance its capabilities. The new inventive concept overcomes this limitation by combining electrochemical impedance spectroscopy with AI, IoT, blockchain, and nanomaterials to provide a comprehensive and accurate cardiovascular disease diagnosis and monitoring system.

The system comprises a tissue sensing device (as described in the original patent) that collects electrical impedance spectroscopy data, which is then transmitted to a cloud-based IoT platform for analysis using artificial intelligence algorithms. The system also incorporates a machine learning module trained on a dataset of plaque rupture events, a blockchain-based data storage system for securely storing and sharing patient data, and a nanomaterial-based contrast agent for enhancing ultrasound imaging. The system's components work synergistically to identify high-risk atherosclerotic lesions, detect metabolically active lesions, and provide personalized health recommendations.

The new inventive concept's novelty lies in the integration of electrochemical impedance spectroscopy with AI, IoT, blockchain, and nanomaterials, which enables accurate cardiovascular disease diagnosis, monitoring, and personalized health recommendations. The inventive step is the synergistic combination of these distinct technologies to create a more powerful system.

Alternative embodiments may include using different types of sensors or imaging modalities, integrating with other healthcare systems or wearables, or applying the system to other disease diagnosis and monitoring applications.

The inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of cardiovascular disease diagnosis and monitoring. The system's ability to provide accurate and personalized health recommendations can lead to improved patient outcomes, reduced healthcare costs, and increased market share for companies adopting this technology.