Arrhythmia Driver Detection via Rotor Trajectory Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting arrhythmia drivers in cardiac arrhythmias lack effectiveness in identifying and analyzing rotor core trajectories and stability, which are crucial for understanding and treating arrhythmias such as tachycardia, bradycardia, and fibrillation.
Innovation Solution
A system and method that computes wave front lines and wave break points across a geometric surface over time, determining rotor core trajectories and identifying stable rotor portions by analyzing spatial and temporal characteristics, with the ability to generate graphical maps and control therapy systems based on arrhythmia driver data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current detection methods are used, then the detection process is simple, but the effectiveness in identifying rotor core trajectories and stability is insufficient
Solution Approach 1:
The detection system is divided into specialized functional modules: wave front analyzer for computing wave front lines, trajectory detector for identifying wave break points and rotor core trajectories, and stability detector for analyzing rotor stability. This segmentation allows each module to focus on specific aspects of arrhythmia detection, improving overall reliability while managing complexity through modular design
Solution Approach 2:
The system transitions from traditional two-dimensional electrocardiogram analysis to three-dimensional spatial mapping of the cardiac surface. By computing wave front lines and trajectories across the three-dimensional geometry of the heart, the system can identify rotor core locations and stability characteristics that are not detectable using conventional planar methods
2Measurement precision
If comprehensive wave front and trajectory analysis is performed, then rotor core detection accuracy improves, but computational time increases
Solution Approach 1:
The wave front analyzer computes wave front lines and identifies wave break points in advance, before full trajectory analysis is performed. This preliminary processing organizes the data structure and identifies key features, reducing the computational burden on subsequent trajectory and stability analysis stages
Solution Approach 2:
The trajectory detector automatically tracks wave break points across multiple time samples, self-correcting and refining trajectory estimates as new data becomes available. The stability detector similarly performs self-assessment of rotor stability based on trajectory characteristics, reducing the need for external validation and repeated computations
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
Systems and methods are provided to detect and analyze arrhythmia drivers. In one example, a system can include a wave front analyzer programmed to compute wave front lines extending over a surface for each of the plurality of time samples based on phase information computed from electrical data at nodes distributed across the surface. A trajectory detector can be programmed to compute wave break points for each of the wave front lines and to determine a trajectory of at least one rotor core across the surface. A stability detector can be programmed to identify at least one stable rotor portion corresponding to subtrajectories of the determined trajectory.