A real-time signal processing software package for the electrophysiology laboratory.
Kathryn D TiverCampbell StrongDhani DharmapraniDarius ChapmanEvan JenkinsSobhan Salari ShahrbabakiAnand N GanesanPublished in: Journal of cardiovascular electrophysiology (2024)
We have developed and demonstrated the feasibility of a readily scalable and open-access Python-based plug in to an electroanatomic mapping system (EnSiteX) to allow real-time processing and display of electrogram (EGM) based information for the procedural electrophysiologist to view intraprocedurally in the electrophysiology laboratory. The availability, to the clinician, of traditional and novel EGM-based metrics at the time of intervention, such as atrial fibrillation ablation, allows for key mechanistic insights into critical unresolved questions regarding arrhythmia mechanism.