3D Heart Electrical Conduction Model for Arrhythmia Localization
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Solution Overview
Problem
Current methods for localizing ventricular arrhythmias, such as PVCs and VT, in the heart lack efficiency without advanced imaging technologies like MRI or CT scans, particularly in resource-constrained settings, and require precise identification of arrhythmia initiation sites for effective ablation treatments.
Innovation Solution
A method using a database of 3D heart models selected based on patient demographics to generate patient-specific models, combined with ECG data for arrhythmia localization, creating a 3D arrhythmia activation surface model without the need for MRI or CT scans, and utilizing machine learning to refine these models over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced imaging technologies like MRI or CT scans are used for arrhythmia localization, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a simplified 3D electrical conduction model that copies the essential functional characteristics of the heart's electrical system without requiring complex anatomical imaging. This virtual model replicates the electrical propagation patterns sufficient for arrhythmia localization, eliminating the need for MRI or CT scan copies of actual heart structures
Solution Approach 2:
The invention uses inexpensive, easily obtainable ECG data instead of expensive imaging resources. The electrical conduction model is a computational construct that can be generated and discarded for each patient without requiring costly imaging equipment or maintaining complex anatomical models
2Measurement precision
If advanced imaging technologies like MRI or CT scans are used for arrhythmia localization, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system uses the patient's own existing ECG data to generate the electrical conduction model, eliminating the need for external imaging services. The model automatically adapts to individual patient characteristics using demographic information and standard ECG recordings that are already part of routine cardiac evaluation
Solution Approach 2:
The patent introduces an intermediary computational model that translates readily available ECG data into meaningful arrhythmia localization information. This intermediary process bridges the gap between simple ECG recording and complex arrhythmia source identification without requiring direct imaging intervention
3Productivity
If patient-specific 3D heart models are generated from demographic information and ECG data, then productivity is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system changes the parameters used to define heart models from detailed anatomical measurements (requiring imaging) to functional electrical parameters derived from ECG data and demographics. This parameter transformation enables rapid model generation while maintaining sufficient precision for electrical conduction analysis and arrhythmia localization
Solution Approach 2:
The electrical conduction model focuses precision only where needed - in the electrical propagation pathways and activation sequences relevant to arrhythmia origin - rather than requiring high precision throughout the entire anatomical structure. This localized quality approach maintains diagnostic accuracy while enabling faster generation
Data Source
AI summary
Various embodiments include methods and computing systems for arrhythmia localization and display. A computing system may select a 3D heart electrical conduction model, including a 3D surface model, from a database of representative 3D heart models based on patient demographic information. The computing system may generate a patient-specific 3D localization of an arrhythmia based on the selected 3D electrical conduction model and ECG data, and generate a patient-specific cardiac activation map based the 3D electrical conduction model and ECG data. The computing system may then merge the patient-specific 3D localization of the arrhythmia and the 3D surface model to generate a 3D arrhythmia activation surface model, and display the patient-specific 3D localization of the arrhythmia and the patient-specific cardiac activation map for use in a medical procedure. Patent demographic information may be used to create or adjust a 3D heart model for inclusion in the database.