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

Publication ID: 24-11857779_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Cardioverter-Defibrillator (ICD) System with AI-Driven Arrhythmia Prediction,” Published Technical Disclosure No. 24-11857779_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857779_0008_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,779.

Summary of the Inventive Concept

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.

Background and Problem Solved

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.

Detailed Description of the Inventive Concept

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.

Novelty and Inventive Step

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 and Variations

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.

Potential Commercial Applications and Market

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.

Field of Art

Medical Device Technology - Implantable Cardiac Rhythm Management Systems, requiring advanced understanding of electrical engineering, biomedical engineering, signal processing, and medical device design with expertise in cardiovascular interventional technologies

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with advanced degree, 5-10 years experience in cardiac rhythm management technologies, familiar with implantable cardioverter-defibrillator systems, signal processing algorithms, and emerging medical technology integration techniques

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning and AI technologies into existing ICD systems represents a predictable technological evolution, leveraging known signal processing techniques to enhance diagnostic and therapeutic capabilities. The fundamental substrate of cardiac rhythm monitoring remains consistent, with the PTD merely applying contemporary computational methods to improve existing medical device functionality. The proposed variations represent incremental improvements using standard engineering design approaches that would be apparent to a skilled practitioner in the field.

Obvious Combinations & Variations

Source Patent Element
Implantable cardioverter-defibrillator with substernal pacing lead
PTD Variation
Adding machine learning module for cardiac rhythm data analysis
Obviousness Reasoning
Applying machine learning to medical device data monitoring is a known technique with predictable results in signal processing and diagnostic technologies
Source Patent Element
ICD configured to deliver pacing pulses
PTD Variation
Dynamically adjusting therapy parameters using AI-driven analysis
Obviousness Reasoning
Adaptive parameter modification is a standard design approach in medical device engineering, representing an obvious extension of existing control mechanisms
Source Patent Element
Cardiac rhythm monitoring system
PTD Variation
Incorporating IoT communication and blockchain data storage
Obviousness Reasoning
Integrating secure communication and data management technologies is a predictable solution for improving medical device information systems
Source Patent Element
Defibrillation lead with electrode configuration
PTD Variation
Adding remote server data transmission for advanced analytics
Obviousness Reasoning
Networked medical device monitoring is a well-established technique for enhancing diagnostic capabilities through distributed computational resources
Source Patent Element
Anti-tachycardia pacing configuration
PTD Variation
Implementing proactive arrhythmia event prediction algorithms
Obviousness Reasoning
Predictive diagnostic techniques represent a logical progression in medical device technology, utilizing known signal processing and machine learning methodologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857779 and the disclosed technical variations, a person having ordinary skill in the art would find the proposed intelligent cardioverter-defibrillator system with AI-driven arrhythmia prediction to be an obvious combination of known medical device technologies, representing a predictable application of contemporary computational techniques to existing cardiac rhythm management systems.

Original Patent Information

Patent NumberUS 11,857,779
TitleImplantable cardioverter-defibrillator (ICD) system including substernal pacing lead
Assignee(s)Medtronic, Inc.