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Robust electrocardiogram delineation model for automatic morphological abnormality interpretation.
Nurmaini S, Darmawahyuni A, Rachmatullah MN, Firdaus F, Sapitri AI, Tutuko B, Tondas AE, Putra MHP, Islami A. Nurmaini S, et al. Sci Rep. 2023 Aug 23;13(1):13736. doi: 10.1038/s41598-023-40965-1. Sci Rep. 2023. PMID: 37612382 Free PMC article.
To ensure the model robustness, we evaluated delineation model performance on seven different types of ECG datasets, namely the Lobachevsky University Electrocardiography Database (LUDB), QT Database (QTDB), the PhysioNet/Computing in Cardiology Challenge 2017, China Physiologica …
To ensure the model robustness, we evaluated delineation model performance on seven different types of ECG datasets, namely the Lobachevsky …