Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation
Yue Qiu,
Hongcheng Guo,
Shixin Wang
et al.
Abstract:Background
Despite improvement in treatment strategies for atrial fibrillation (AF), a significant proportion of patients still experience recurrence after ablation. This study aims to propose a novel algorithm based on Transformer using surface electrocardiogram (ECG) signals and clinical features can predict AF recurrence.
Methods
Between October 2018 to December 2021, patients who underwent index radiofrequency ablation for AF with at least one standard 10-second sur… Show more
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