Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149568" target="_blank" >RIV/00216305:26220/23:PU149568 - isvavai.cz</a>
Result on the web
<a href="https://cinc.org/2023/Program/accepted/315_CinCFinalPDF.pdf" target="_blank" >https://cinc.org/2023/Program/accepted/315_CinCFinalPDF.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22489/CinC.2023.315" target="_blank" >10.22489/CinC.2023.315</a>
Alternative languages
Result language
angličtina
Original language name
Epycon: A Single-platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
30201 - Cardiac and Cardiovascular systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computing in Cardiology 2023
ISBN
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ISSN
2325-887X
e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
IEEE Computer Society
Place of publication
neuveden
Event location
Atlanta
Event date
Oct 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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