1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2026
Sampling Matters: The Effect of ECG Frequency on Deep Learning-Based Atrial Fibrillation Detection
Arjan Mahmuod, Adrian Rod Hammerstad, Muzaffar Yousef +5
Deep learning models for atrial fibrillation (AF) detection are increasingly trained on heterogeneous electrocardiogram (ECG) datasets with varying sampling frequencies, yet the sp…
cs.LG2026★ 1 cited
ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Vajira Thambawita, Jonas L. Isaksen, Jørgen K. Kanters +2
Deep learning has achieved expert-level performance in automated electrocardiogram (ECG) diagnosis, yet the "black-box" nature of these models hinders their clinical deployment. Tr…