DG-Mapping

DG-Mapping constructs directed-graph representations of cardiac activation from electrode local activation times (LAT) and spatial coordinates to identify reentry circuits and focal activation sources for arrhythmia analysis.

Key Features:

• Data Requirements: Accepts local activation times (LAT) and spatial coordinates of measured electrodes from simulated, experimental, or clinical datasets without requiring specific spatial electrode organization.
• Directed Network Creation: Converts electrode measurements into a directed network by identifying neighboring nodes, establishing directed arrows between neighbors when electrical wave propagation is feasible, iterating this process for all nodes, and optionally redistributing nodes to achieve uniform spacing.
• Analysis Algorithms: Uses fast graph algorithms to detect cycles corresponding to reentry circuits and to locate focal activation sources as nodes with only outgoing arrows.
• Visualization and Analysis Options: Supports creation of average graphs to visualize wavefronts and explicit identification of reentry loops by finding cycles in the directed network.

Scientific Applications:

• Atrial tachycardia analysis: Optimized for analyzing atrial tachycardia by identifying reentry and focal mechanisms.
• General arrhythmia investigation: Applicable to various types of arrhythmias for mechanistic mapping of activation patterns.
• Mechanistic research: Supports research into the mechanisms and diagnosis of reentry circuits and focal activation sources in cardiac tissue.

Methodology:

Transforms electrode LATs and spatial coordinates into a directed graph by identifying neighboring nodes from coordinates, establishing directed edges when electrical wave propagation is feasible, iterating across all nodes, and optionally redistributing nodes to achieve uniform spacing.