ECG-Guided Catheter Navigation for Real-Time Arrhythmia Localization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current catheter ablation procedures for ventricular arrhythmias (VAs) rely heavily on operator experience and are time-consuming, leading to lengthy procedures and adverse outcomes, with success rates limited to experienced operators in large centers.
Innovation Solution
A system and method using a 12-lead surface electrocardiogram (ECG) to provide real-time navigational feedback by constructing a 3-dimensional displacement vector from ECG data, guiding the catheter to the arrhythmia origin without requiring detailed anatomical maps, and updating guidance in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If empirical trial and error navigation is used to localize VA origin, then the procedure can be performed without advanced technology, but the procedure time becomes excessively long and success rate decreases
Solution Approach 1:
The patent replaces the mechanical trial-and-error navigation approach with an electromagnetic field-based system. Surface ECG sensors detect electrical signals from the heart, and computer processing transforms these signals into spatial location information, substituting manual exploration with automated electromagnetic detection and computational analysis.
Solution Approach 2:
The patent introduces computer processing algorithms as an intermediary between the ECG signals and the catheter navigation system. The computer transforms raw ECG data into displacement vectors and location predictions, serving as a mediator that converts electrical signal data into actionable spatial guidance for catheter positioning.
2Measurement precision
If detailed anatomical maps are used for catheter navigation, then localization precision improves, but device complexity and procedure preparation time increase
Solution Approach 1:
The patent extracts only the essential electrical signal information from the heart through surface ECG sensors, rather than requiring complete anatomical mapping. By focusing solely on electrocardiographic signals and their transformation into spatial data, the system eliminates the complexity of detailed anatomical reconstruction while maintaining localization capability.
Solution Approach 2:
The patent creates a virtual representation of cardiac electrical activity and its spatial relationships through computer processing of ECG signals. This virtual model serves as a simplified copy of the complex anatomical structure, providing sufficient information for navigation without requiring physical or detailed anatomical mapping of the entire heart structure.
3Reliability
If operator experience is relied upon for navigation decisions, then procedural flexibility is maintained, but consistency and success rate vary significantly
Solution Approach 1:
The patent implements a feedback system where surface ECG signals continuously provide information about catheter position relative to VA origin. The computer processing transforms these signals into real-time displacement vectors that guide catheter movement, creating a closed-loop feedback mechanism that reduces dependence on operator experience and improves procedural consistency.
Solution Approach 2:
The system enables self-service navigation by allowing the ECG signals and computer algorithms to guide catheter positioning automatically. The displacement vector calculations and location predictions perform the navigational decision-making function that previously required experienced operator judgment, making the procedure more accessible to operators with varying skill levels.
Data Source
AI summary
A system and method are provided for a navigational feedback to a catheter during an arrhythmia ablation procedure. A set of electrocardiogram (ECG) signals of a patient's arrhythmia is recorded that correspond to an unknown target location to be ablated by the catheter. During the ablation procedure, pacing locations and ECG signals corresponding to the pacing locations are collected to derive a mathematical operator that maps a 12-dimensional displacement vector in the ECG space to a 3-dimensional (3D) vector in a physical space. This 3D vector corresponds to a direction and a distance that the catheter needs to be moved in order to reach the target location of the arrhythmia.