Publicaciones en colaboración con investigadores/as de Stanford University School of Medicine (4)

2022

  1. Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

    Circulation: Arrhythmia and Electrophysiology, Vol. 15, Núm. 8, pp. 500-509

2020

  1. Automatic quality electrogram assessment improves phase-based reentrant activity identification in atrial fibrillation: Quality EGM Assessment for Reentry Identification

    Computers in Biology and Medicine, Vol. 117

  2. Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping

    Frontiers in Physiology, Vol. 11

  3. Noninvasive Assessment of Complexity of Atrial Fibrillation: Correlation With Contact Mapping and Impact of Ablation

    Circulation. Arrhythmia and electrophysiology, Vol. 13, Núm. 3, pp. e007700