Personalized Cardiac Pacing System with Real-time Optimization

A next-generation cardiac pacing system that leverages machine learning, artificial intelligence, and real-time data analysis to provide personalized pacing protocols and optimal electrode configurations for individual patients, revolutionizing cardiac care.

The original patent disclosed a method and apparatus for electrode combination selection, which, while effective, has limitations in terms of adaptability and personalization. The new inventive concept addresses these limitations by integrating advanced technologies to provide real-time optimization and tailored pacing protocols.

The system comprises a neural network that predicts optimal electrode combinations based on a patient's specific heart anatomy and medical history. The controller adjusts pacing parameters in real-time based on the predicted optimal electrode combinations. The system also includes a sensor to detect changes in heart rhythm and adaptively adjust pacing parameters and electrode configurations. Additionally, the system enables remote optimization through a cloud-based server and remote console, providing real-time feedback and recommendations for optimal pacing parameters and electrode configurations.

The new claims introduce the use of machine learning, artificial intelligence, and real-time data analysis to personalize cardiac pacing, which is a significant departure from the original patent's approach. The integration of these advanced technologies provides a non-obvious and novel solution to the problem of cardiac pacing optimization.

Alternative embodiments could include the use of different machine learning algorithms, varying levels of automation in the pacing parameter adjustment, or the integration of additional sensors to detect changes in heart rhythm. Variations could also include different user interfaces for remote optimization or the use of edge computing for real-time data analysis.

The personalized cardiac pacing system has significant commercial potential in the medical device industry, particularly in the areas of cardiac care and electrophysiology. The system's ability to provide real-time optimization and tailored pacing protocols could revolutionize cardiac care, improving patient outcomes and reducing healthcare costs.