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ŘEDINA, R. HEJČ, J. POSPÍŠIL, D. RONZHINA, M. NOVOTNÁ, P. STÁREK, Z.
Original Title
Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation
Type
conference paper
Language
English
Original Abstract
Conventional surface ECG analysis has brought a breakthrough in the diagnosis of heart diseases in the last century. With improvements in technology, doctors are now able to read ECGs using catheters placed directly in the heart. Signals obtained in this way may herald a further shift in diagnostic capabilities. Early detection of cardiac arrhythmias is still one of the challenges in medicine. For this task, intracardiac ECG recordings from presented database can be a valuable source of information. The recordings were obtained during electrophysiological procedures on paediatric patients with arrhythmias. The database consists of a total of 326 records, from one hundred patients. For each record, global annotation with arrhythmia findings and local annotations with atrial activity onset/offset are available. Annotations capturing atrial activity were manually created by the experienced electrophysiologists. A large proportion of the records (n = 191) contain only sinus rhythm. Ventricular preexcitation (n = 58) and atrial premature beat (n = 47) were the most common findings in the database. We hope that the database presented in the paper will open new possibilities in the research of cardiac arrhythmias as well as in the improvement of wave detection in ECG or in the overall ECG delineation
Keywords
Intracardiac Electrograms, Atrial Activity, Electrophysiology, Surface ECG, P-wave Position
Authors
ŘEDINA, R.; HEJČ, J.; POSPÍŠIL, D.; RONZHINA, M.; NOVOTNÁ, P.; STÁREK, Z.
Released
22. 11. 2022
Publisher
Computing in Cardiology 2022
ISBN
2325-887X
Periodical
Computing in Cardiology
State
United States of America
Pages from
1
Pages to
4
Pages count
BibTex
@inproceedings{BUT180025, author="Richard {Ředina} and Jakub {Hejč} and David {Pospíšil} and Marina {Filipenská} and Petra {Novotná} and Zdeněk {Stárek}", title="Arrhythmia Database with Annotated Intracardial Atrial Signals from Pediatric Patients Undergoing Catheter Ablation", booktitle="Computing in Cardiology 2022", year="2022", journal="Computing in Cardiology", pages="1--4", publisher="Computing in Cardiology 2022", issn="2325-887X" }