Artificial intelligence analysis of ECG signals to predict arrhythmia recurrence after ablation of atrial fibrillation.

Saved in:

Bibliographic Details
Title:	Artificial intelligence analysis of ECG signals to predict arrhythmia recurrence after ablation of atrial fibrillation.
Authors:	Warmiński G; National Institute of Cardiology, Warszawa, Poland. grzegorzwarminski@gmail.com., Sadowski KA; National Institute of Cardiology, Warszawa, Poland., Kalińczuk Ł; National Institute of Cardiology, Warszawa, Poland., Orczykowski M; National Institute of Cardiology, Warszawa, Poland., Urbanek P; National Institute of Cardiology, Warszawa, Poland., Bodalski R; National Institute of Cardiology, Warszawa, Poland., Hasiec A; National Institute of Cardiology, Warszawa, Poland., Gandor M; Cracow University of Technology, Kraków, Poland., Pałka F; Cracow University of Technology, Kraków, Poland., Sajnok K; Institute of Physics, Polish Academy of Sciences, Warszawa, Poland.; Institute of Theoretical Physics, University of Warsaw, Warszawa, Poland., Sterliński M; National Institute of Cardiology, Warszawa, Poland., Pławiak P; Cracow University of Technology, Kraków, Poland.; Institute of Theoretical and Applied Informatics, Polish Academy of Sciences., Szumowski Ł; National Institute of Cardiology, Warszawa, Poland.
Source:	Kardiologia polska [Kardiol Pol] 2025; Vol. 83 (4), pp. 496-498. Date of Electronic Publication: 2025 Jan 17.
Publication Type:	Journal Article
Journal Info:	Publisher: Via Medica Country of Publication: Poland NLM ID: 0376352 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1897-4279 (Electronic) Linking ISSN: 00229032 NLM ISO Abbreviation: Kardiol Pol Subsets: MEDLINE; In Process
Database:	MEDLINE Ultimate

Description
ISSN:	1897-4279
DOI:	10.33963/v.phj.104319