Intelligent Cardioverter-Defibrillator (ICD) System with AI-Driven Arrhythmia Prediction

An implantable cardioverter-defibrillator (ICD) system integrated with artificial intelligence (AI), machine learning, and IoT technologies to predict and prevent arrhythmic events, enhancing patient outcomes and reducing healthcare costs.

The original patent provided an implantable cardioverter-defibrillator (ICD) system with a substernal pacing lead, but it lacked the ability to predict arrhythmic events and adapt therapy accordingly. This limitation resulted in suboptimal patient outcomes and increased healthcare costs. The new inventive concept addresses this limitation by integrating AI-driven arrhythmia prediction, enabling proactive and personalized cardiac therapy.

The intelligent ICD system comprises an implantable cardioverter-defibrillator (ICD) with a substernal pacing lead, a machine learning module, a communication module, and an artificial intelligence module. The machine learning module analyzes cardiac rhythm data from the ICD system and predicts arrhythmic events. The communication module transmits the prediction data to a remote server for further analysis and feedback. The artificial intelligence module adjusts the therapy parameters of the ICD system based on the analysis, providing personalized cardiac therapy. Additionally, the system may include a blockchain-based data storage module for secure data management and an IoT-based analytics platform for trend analysis and pattern identification.

The new inventive concept's integration of AI-driven arrhythmia prediction, machine learning, and IoT technologies with the original ICD system's substernal pacing lead constitutes a novel and non-obvious advancement. The inventive step lies in the synergistic combination of these distinct technologies, enabling proactive and personalized cardiac therapy.

Alternative embodiments may include integrating the AI-driven arrhythmia prediction module with other implantable cardiac devices, such as pacemakers or cardiac resynchronization therapy devices. Variations may include using different machine learning algorithms or incorporating additional data sources, such as genomic data or wearable device data, to enhance the accuracy of arrhythmia prediction.

The intelligent ICD system has significant commercial potential in the cardiac rhythm management market, with potential applications in hospitals, clinics, and remote patient monitoring settings. The system's ability to predict and prevent arrhythmic events can reduce healthcare costs, improve patient outcomes, and enhance the quality of life for individuals with cardiac conditions.