Explainable Electrocardiogram Interpretation using Deep Learning-based Semantic Segmentation

Bauke Arends

doi:10.1093/ehjdh/ztag122

Explainable Electrocardiogram Interpretation using Deep Learning-based Semantic Segmentation

2026-07-31

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Parmenion Koutsogeorgos

Diantha J. M. Schipaanboord

Rutger R van de Leur *

DOI：10.1093/ehjdh/ztag122

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Accurate electrocardiogram (ECG) waveform delineation, rhythm classification, and median beat generation are interdependent steps whose joint modeling improves consistency for downstream computerized diagnostic tasks. This study aimed to develop a lead-agnostic segmentation model that performs these tasks by segmenting individual leads and aggregating predictions in postprocessing.

Explainable Electrocardiogram Interpretation using Deep Learning-based Semantic Segmentation

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