Intelligent Cardiovascular Health Monitoring Systems

The present disclosure relates to a novel system that integrates pressure sensing guidewires with advanced technologies such as artificial intelligence, blockchain, IoT, and cloud analytics to provide a comprehensive cardiovascular health monitoring solution.

The original pressure sensing guidewires, while effective in measuring blood pressure, had limitations in terms of data analysis, storage, and utilization. The present inventive concept addresses these limitations by incorporating synergistic combinations of distinct technologies to create a more powerful system.

The system comprises a pressure sensing guidewire, which collects blood pressure and flow rate data. This data is then transmitted to an AI module, which analyzes the data to provide personalized health recommendations to the user. The data is securely stored in a blockchain-based data storage system, ensuring authenticity and integrity. The system may also include an IoT module for transmitting data to a remote server, and a cloud-based analytics platform for processing and analyzing the data to provide real-time insights on blood pressure trends. Furthermore, the system can be integrated with machine learning algorithms to predict cardiovascular disease, and with AI-powered predictive maintenance modules to optimize device performance.

The integration of pressure sensing guidewires with AI, blockchain, IoT, and cloud analytics constitutes a novel and non-obvious combination, providing a synergistic effect that enhances the overall functionality and value of the system.

Alternative embodiments may include the use of different AI algorithms, blockchain protocols, or IoT communication standards. The system may also be adapted for use in other medical applications, such as monitoring respiratory or neurological conditions.

The present inventive concept has significant commercial potential in the healthcare industry, particularly in the areas of cardiovascular disease prevention, diagnosis, and treatment. The system can be marketed to hospitals, clinics, and medical research institutions, and may also have applications in the fields of telemedicine and personalized medicine.