Epycon: A Single-Platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F23%3A00081443" target="_blank" >RIV/00159816:_____/23:00081443 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14110/23:00136902
Výsledek na webu
<a href="http://dx.doi.org/10.22489/CinC.2023.315" target="_blank" >http://dx.doi.org/10.22489/CinC.2023.315</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22489/CinC.2023.315" target="_blank" >10.22489/CinC.2023.315</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Epycon: A Single-Platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats
Popis výsledku v původním jazyce
The WorkMateTM 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 WorkMateTM 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 WorkMateTM 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. (C) 2023 CinC.
Název v anglickém jazyce
Epycon: A Single-Platform Python Package for Parsing and Converting Raw Electrophysiology Data into Open Formats
Popis výsledku anglicky
The WorkMateTM 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 WorkMateTM 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 WorkMateTM 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. (C) 2023 CinC.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
30201 - Cardiac and Cardiovascular systems
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2023 Computing in Cardiology
ISBN
979-8-3503-8252-5
ISSN
2325-8861
e-ISSN
—
Počet stran výsledku
4
Strana od-do
—
Název nakladatele
IEEE Computer Society
Místo vydání
Washington
Místo konání akce
Atlanta
Datum konání akce
1. 10. 2023
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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