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arXiv · 2411.00755

Hierarchical Transformer for Electrocardiogram Diagnosis

Xiaoya Tang·Jake Berquist·Benjamin A. Steinberg·Tolga Tasdizen
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Abstract

We propose a hierarchical Transformer for ECG analysis that combines depth-wise convolutions, multi-scale feature aggregation via a CLS token, and an attention-gated module to learn inter-lead relationships and enhance interpretability. The model is lightweight, flexible, and eliminates the need for complex attention or downsampling strategies.

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Xiaoya Tang, Jake Berquist, Benjamin A. Steinberg, Tolga Tasdizen. 2024-11-01. Hierarchical Transformer for Electrocardiogram Diagnosis. https://arxiv.org/abs/2411.00755

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