Next-Generation Arrythmia Origin Identification and Treatment System

Publication ID: 24-11857307_0005_PTD
Published: November 07, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Arrythmia Origin Identification and Treatment System,” Published Technical Disclosure No. 24-11857307_0005_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857307_0005_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. 11,857,307.

Summary of the Inventive Concept

A novel system for identifying the origin of an arrythmia, utilizing machine learning, deep learning, and cardiac imaging to provide enhanced accuracy and personalized treatment plans.

Background and Problem Solved

The original patent, 'Finding the origin of an arrythmia', introduced a method for analyzing results of a cardiac invasive procedure to locate the origin of a single-source arrythmia. However, this method has limitations in terms of accuracy and efficiency. The new inventive concept addresses these limitations by leveraging advanced technologies to provide a more accurate and personalized approach to arrythmia origin identification and treatment.

Detailed Description of the Inventive Concept

The next-generation system consists of a cardiac chamber mapping module, a local activation time measurement module, and a machine learning-based origin predictor module. The system generates a 3D map of the heart chamber, measures local activation times at multiple points on the surface, and utilizes a deep learning algorithm to identify the origin of the arrythmia based on the LAT-derived distances and the 3D map. Additionally, the system can integrate with cardiac imaging to display the identified origin on a 3D heart model, enabling real-time tracking and personalized treatment plans.

Novelty and Inventive Step

The new claims introduce the use of machine learning, deep learning, and cardiac imaging to enhance the accuracy of arrythmia origin identification. The integration of these advanced technologies with the original method provides a novel and non-obvious solution that overcomes the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different machine learning algorithms, such as reinforcement learning or transfer learning, or the integration of additional data sources, such as electroanatomical mapping or intracardiac echocardiography. Variations of the system could also include different types of cardiac imaging, such as MRI or CT scans, or the use of robotic-assisted catheter navigation.

Potential Commercial Applications and Market

The next-generation arrythmia origin identification and treatment system has significant commercial potential in the medical device and healthcare industries. The system's enhanced accuracy and personalized treatment plans could improve patient outcomes and reduce healthcare costs. The target market includes hospitals, clinics, and medical research institutions involved in cardiac invasive procedures and arrythmia treatment.

Field of Art

Cardiac electrophysiology and medical device technologies focused on cardiac mapping, arrhythmia diagnosis, and interventional cardiology procedures

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or clinical electrophysiologist with expertise in cardiac mapping technologies, signal processing, machine learning applications in medical diagnostics, and invasive cardiac intervention techniques

Obviousness Rationale

A person of ordinary skill would recognize that integrating machine learning and advanced imaging techniques with existing cardiac mapping methodologies represents a predictable technological progression. The source patent establishes a foundational method for identifying arrhythmia origins, which naturally invites computational enhancement and diagnostic refinement. The PTD's proposed variations leverage well-established machine learning principles to improve the precision and interpretability of existing cardiac mapping techniques.

Obvious Combinations & Variations

Source Patent Element
Probe with multiple electrode pairs for generating location signals and acquiring cardiac surface data
PTD Variation
Adding machine learning-based origin prediction module to analyze electrode-derived location and activation time data
Obviousness Reasoning
Applying machine learning to existing signal processing techniques represents a known method of enhancing diagnostic accuracy through computational analysis
Source Patent Element
Local activation time (LAT) measurement method for identifying cardiac signal propagation
PTD Variation
Generating 3D heart chamber maps and utilizing deep learning algorithms to predict arrhythmia origin
Obviousness Reasoning
Extending signal processing techniques with advanced computational modeling is a predictable technological evolution within medical diagnostics
Source Patent Element
Cardiac invasive procedure for identifying arrhythmia source
PTD Variation
Integrating real-time cardiac imaging and personalized treatment planning based on machine learning predictions
Obviousness Reasoning
Combining diagnostic imaging with computational analysis represents a logical and foreseeable enhancement to existing medical intervention techniques
Source Patent Element
Electrode-based location signal generation
PTD Variation
Implementing continuous origin tracking during cardiac procedures using machine learning algorithms
Obviousness Reasoning
Developing real-time tracking capabilities is a natural progression of existing signal processing and mapping technologies
Source Patent Element
Method for identifying single-source arrhythmia
PTD Variation
Personalizing ablation strategies using machine learning-derived origin identification and patient-specific anatomical data
Obviousness Reasoning
Tailoring medical interventions through computational analysis is a predictable application of advanced diagnostic technologies
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857307, a person having ordinary skill in the art would find the proposed variations in cardiac arrhythmia origin identification and treatment technologies to be obvious extensions of existing methodologies. The integration of machine learning, advanced imaging, and computational analysis represents a predictable technological progression that would be readily conceived by a skilled practitioner without requiring inventive insight beyond the existing state of the art.

Original Patent Information

Patent NumberUS 11,857,307
TitleFinding the origin of an arrythmia
Assignee(s)Rutgers, The State University of New Jersey, Biosense Webster (Israel) Ltd.