D 2023

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

HEJC, Jakub, Richard REDINA, Jana KOLAROVA and Zdeněk STÁREK

Basic information

Original name

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

Authors

HEJC, Jakub, Richard REDINA (203 Czech Republic), Jana KOLAROVA (203 Czech Republic) and Zdeněk STÁREK (203 Czech Republic, belonging to the institution)

Edition

Atlanta, 2023 Computing in Cardiology, p. 1-4, 4 pp. 2023

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30201 Cardiac and Cardiovascular systems

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

Organization unit

Faculty of Medicine

ISBN

979-8-3503-8252-5

DOI

http://dx.doi.org/10.22489/CinC.2023.315

Keywords in English

Epycon

Tags

rivok

Tags

International impact, Reviewed
Změněno: 22/8/2024 10:35, Mgr. Tereza Miškechová

Abstract

V originále

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 Comma- Separated 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.

Links

MUNI/A/1410/2022, interní kód MU
Name: Nové trendy v diagnostice a managementu srdečních onemocnění
Investor: Masaryk University, New trends in diagnostics and management of cardiac diseases
Displayed: 9/11/2024 19:59