ECG-NAT

ECG-NAT model uses self-supervised learning for electrocardiogram classification

Researchers have developed ECG-NAT, a self-supervised Neighborhood Attention Transformer designed for multi-lead electrocardiogram classification. This model uses a two-stage approach, beginning with generative pretrain…