Publication detail

Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats

HEJČ, J. ŘEDINA, R. KOLÁŘOVÁ, J. STÁREK, Z.

Original Title

Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats

Type

conference paper

Language

English

Original Abstract

The WorkMate™ platform is a widely used system for recording and analyzing cardiac electrophysiology waveforms recorded during interventional procedures. However, the internal export tools do not usually allow full access to unprocessed data, which challenges its use for research purposes. The Epycon package is a data parsing tool that enables direct access to raw unipolar/bipolar waveforms and clinical annotations stored in WorkMate™ proprietary serialized file formats. It provides the ability to convert the data into established open formats, including CommaSeparated Values and Hierarchical Data Format 5. Epycon offers a number of features that make it a valuable tool for researchers, including memory-efficient batch processing, support for both raw unipolar and bipolar waveforms, and comprehensive documentation of WorkMate™ file format for development purposes. Epycon is implemented in Python 3.8 and can help researchers to more efficiently access electrophysiology data, facilitating research in developing algorithms for cardiac electrogram processing or creating open-source databases of electrophysiology data for public use.

Keywords

Cardiac Electrophysiology Waveforms, Data Parsing Tool, Electrophysiology Data Access, Cardiac Electrogram Processing, Unprocessed Data Access

Authors

HEJČ, J.; ŘEDINA, R.; KOLÁŘOVÁ, J.; STÁREK, Z.

Released

20. 11. 2023

Publisher

IEEE Computer Society

ISBN

2325-887X

Periodical

Computing in Cardiology

Year of study

50

Number

neuvedno

State

United States of America

Pages from

1

Pages to

4

Pages count

4

URL

https://cinc.org/2023/Program/accepted/315_CinCFinalPDF.pdf

BibTex

@inproceedings{BUT185373,
  author="Jakub {Hejč} and Richard {Ředina} and Jana {Kolářová} and Zdeněk {Stárek}",
  title="Epycon: A Single-platform Python Package for Parsing and Converting Raw
Electrophysiology Data into Open Formats",
  booktitle="Computing in Cardiology 2023",
  year="2023",
  series="50",
  journal="Computing in Cardiology",
  volume="50",
  number="neuvedno",
  pages="1--4",
  publisher="IEEE Computer Society",
  doi="10.22489/CinC.2023.315",
  issn="2325-887X",
  url="https://cinc.org/2023/Program/accepted/315_CinCFinalPDF.pdf"
}