Masked Transformer for Electrocardiogram Classification

arXiv:2309.07136v2 Announce Type: replace-cross
Abstract: Electrocardiogram (ECG) is one of the most important diagnostic tools in clinical applications. With the advent of advanced algorithms, various deep learning models have been adopted for ECG tasks. However, the potential of Transformers for ECG data is not yet realized, despite their widespread success in computer vision and natural language processing. In this work, we present a useful masked Transformer method for ECG classification referred to as MTECG, which expands the application of masked …

abstract advanced algorithms applications arxiv classification clinical computer computer vision cs.ai cs.lg data deep learning diagnostic eess.sp however natural stat.ap success tasks tools transformer transformers type vision