EGM analyzer: A modular software platform for visualization and analysis of cardiac electrograms

Background and Objectives: The analysis of intracardiac electrograms (EGMs) is crucial for understanding the electrophysiological mechanisms underlying cardiac arrhythmias. However, the diversity of mapping systems and data formats poses challenges for data integration, visualization, and the comparison of electrophysiological biomarkers. In this work, we develop a modular and extensible software platform for the visualization, analysis, and comparison of intracardiac electrograms and related biomarkers in both research and clinical contexts. Methods: A custom software tool was developed with an interactive graphical user interface (GUI) capable of loading, processing, and visualizing cardiac mapping data. The platform supports three-dimensional (3D) representations of cardiac geometries and allows users to display multiple biomarkers including peak-to-peak amplitude, local activation times (LATs), ablation points, and other derived metrics. The tool enables the visualization of unipolar and bipolar electrograms, as well as the computation of omnipolar signals. The open-source software is made available. Results: The platform provides a unified environment for handling heterogeneous electrophysiological data. Users can visualize cardiac geometries, overlay various signal-derived maps, and interactively inspect local electrograms. The modular design enables the integration of new biomarkers and analytical methods with minimal effort, facilitating both clinical interpretation and research development. Conclusions: This software bridges a key gap in electrophysiological data analysis by enabling consistent visualization and comparison of intracardiac signals across datasets and biomarkers. Its modular and extensible design supports ongoing research in cardiac electrophysiology and provides clinicians with an intuitive environment for multimodal analysis.