Next-Generation Cardiac Arrhythmia Origin Identification System
Legal Citation
Summary of the Inventive Concept
A novel, machine learning-based system for identifying the origin of cardiac arrhythmias, providing real-time, high-accuracy localization and adaptability to changing heart conditions.
Background and Problem Solved
The original patent's method for finding the origin of an arrythmia, while effective, has limitations in terms of accuracy and adaptability. The new inventive concept addresses these limitations by leveraging machine learning algorithms and real-time data analysis to provide a more accurate and dynamic solution.
Detailed Description of the Inventive Concept
The next-generation system comprises a probe configured to generate a three-dimensional map of a heart chamber, and a processor configured to analyze local activation times and conduction wave velocities using a novel machine learning algorithm. The algorithm iteratively refines the location of the origin of the arrhythmia, adapting to new data in real-time. The system further includes a visualization module to display the origin of the arrhythmia in real-time, and a feedback loop to refine the location of the origin based on real-time data from the probe.
Novelty and Inventive Step
The new claims introduce a paradigm shift in cardiac arrhythmia origin identification by incorporating machine learning algorithms, real-time data analysis, and adaptability to changing heart conditions. This novel approach provides a significant improvement in accuracy and efficiency over the original patent's method.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include using different types of probes, such as catheters or echocardiography, or integrating the system with existing medical devices. Variations could also include using different machine learning algorithms or adapting the system for use in other medical applications.
Potential Commercial Applications and Market
The next-generation cardiac arrhythmia origin identification system has significant commercial potential in the medical device industry, particularly in the areas of cardiac electrophysiology and interventional cardiology. The system's real-time adaptability and high accuracy make it an attractive solution for hospitals and medical centers.
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Cardiac electrophysiology and medical diagnostic imaging, with expertise in invasive cardiac mapping techniques, signal processing, and advanced medical instrumentation
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or clinical electrophysiologist with advanced training in cardiac mapping, signal analysis, machine learning applications in medical diagnostics, and experience with catheter-based diagnostic technologies
Obviousness Rationale
A person of ordinary skill would recognize that applying machine learning techniques to cardiac arrhythmia localization represents a predictable extension of existing cardiac mapping methodologies. The source patent establishes foundational techniques for identifying cardiac arrhythmia origins, which naturally invite computational optimization through advanced algorithmic approaches. The PTD's machine learning implementation provides a logical progression of the existing technical framework by introducing adaptive, data-driven refinement to an established diagnostic process.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,307 |
|---|---|
| Title | Finding the origin of an arrythmia |
| Assignee(s) | Rutgers, The State University of New Jersey, Biosense Webster (Israel) Ltd. |