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arXiv cs.LG
arXiv cs.LG
7/3/2026
Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

Short summary

Researchers propose a temporal-spatial graph convolution network for ECG recognition that incorporates domain knowledge (PRQST landmarks) to improve model interpretability. The approach captures spatial relationships between key cardiac points and temporal dependencies across ECG cycles. It achieves 88.1% F1 score overall and 76.3% on rare categories, outperforming state-of-the-art methods.

  • •Domain knowledge (PRQST landmarks) enhances interpretability in ECG recognition models
  • •Temporal-spatial graph convolution captures both positional relationships and cycle dependencies
  • •Achieves 88.1% F1 score overall, 76.3% on rare categories—outperforms existing approaches

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