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OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research.

Steven E Williams1,2, Caroline H Roney1, Adam Connolly1,3

  • 1King's College London, London, United Kingdom.

Frontiers in Physiology
|March 15, 2021
PubMed
Summary

OpenEP is a new open-source platform that efficiently stores and analyzes electroanatomic mapping data. This tool standardizes data, making electrophysiology research more accessible and space-efficient.

Keywords:
ablation electrophysiologyatrial fibrillationconduction velocitycontact forcedata storage and retrievalelectroanatomic mappingelectrophysiology – arrhythmia mapping and ablation

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Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Cardiovascular Research

Background:

  • Electroanatomic mapping systems generate data in proprietary formats, hindering accessibility and efficiency.
  • Existing data formats are challenging to access and inefficient for storage.
  • There is a need for an open-source platform for standardized electroanatomic mapping data analysis.

Purpose of the Study:

  • To develop a standardized, open-source data structure for electroanatomic mapping data.
  • To create a computer code (OpenEP) for space-efficient and accessible data storage and interrogation.
  • To facilitate electrophysiology research by overcoming limitations of proprietary data formats.

Main Methods:

  • Defined a data structure for anatomic and electrical data.
  • Developed OpenEP in MATLAB for parsing and interrogating data.
  • Implemented functions for chamber geometry, activation/voltage mapping, and electrogram analysis.
  • Performed performance benchmarking and data validation.
  • Assessed suitability for contemporary electrophysiology research through literature analysis.

Main Results:

  • OpenEP data storage is two orders of magnitude smaller than compressed clinical data.
  • OpenEP-derived geometry metrics accurately correlate with clinical metrics (Area R²=0.77, Volume R²=0.52).
  • Activation and voltage mapping data correlate well with clinical values (mean voltage R²=0.87, local activation time R²=0.89).
  • OpenEP supports 95% of qualitatively and 88% of quantitatively assessed analysis techniques.

Conclusions:

  • OpenEP provides a functional framework for electroanatomic mapping research.
  • The platform is space-efficient and accurately represents original data.
  • OpenEP supports the majority of contemporary electroanatomic mapping research needs.
  • A roadmap for future development is proposed.