Updates on OpenEP: The Open-Source Platform for Electrophysiological Data Analysis

OpenEP is an open-source library for electrophysiological data analysis, first released in 2020. This paper provides an update on the features and tools added since initial release. Software development has been performed in Matlab (R2020a/R2021b) and Python3. Development is ongoing in the areas of data parsing and data analysis. Data parsing: The system continues to support parsers for Carto3, Velocity and Precision. In addition, a parser for the Kodex electroanatomic mapping system has been added. Data analysis: An extensible architecture for data interpolation has been added. This new architecture has exposed hitherto unrecognized variation in interpolation schemes in clinical mapping systems and will permit the optimization of interpolation methods against ‘gold standard’ simulation or histological data. Similarly, an architecture for conduction velocity vector measurement has been added. We have refined the ablation lesion quantification tools permitting time-domain analysis of ablation lesion formation. A Python-based graphical interface is now under development, with the beta-testing program for the interface planned. The interface provides the ability to visualize, manipulate and analyze electrophysiology data. To facilitate this development, we have implemented an open-source Python3 version of OpenEP: openep-py.