Xiaoyan Yuan

ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers

Self-supervised learning (SSL) has garnered increasing attention in electrocardiogram (ECG) analysis for its effectiveness in resource-limited settings. Existing state-of-the-art SSL methods rely on time-frequency detail reconstruction, but due to the inherent redundancy of ECG signals and individua