Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders

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Journal
Frontiers in Physiology
Published
2026-01-26
DOI
https://doi.org/10.3389/fphys.2026.1788430
Primary Topic
ECG Monitoring and Analysis
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article
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Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders

Oscar E. Pérez, Miriam Gutiérrez-Fernández, Maria S. Guillem, C. Fambuena-Santos et al.
Frontiers in Physiology
ECG Monitoring and Analysis
article

Correction: Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders

Oscar E. Pérez, Miriam Gutiérrez-Fernández, Maria S. Guillem, C. Fambuena-Santos, K. López-Linares, Andreu M. Climent
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No abstract available for this paper.
Frontiers in PhysiologyVol. 17
Universidad Rey Juan Carlos (ES), Vicomtech (ES), Bioengineering Center (RU), Tech Foundation (US), Digital Research Alliance of Canada, Universitat Politècnica de València (ES)
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ECG Monitoring and Analysis
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