Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024
The George B. Moody PhysioNet Challenges are annual competitions that invite participants to develop automated approaches for addressing important physiological and clinical problems. The 2024 Challenge invites teams to develop algorithms for digitizing and classifying electrocardiograms (ECGs) captured from images or paper printouts. Despite the recent advances in digital ECG devices, physical or paper ECGs remain common, especially in the Global South. These physical ECGs document the history and diversity of cardiovascular diseases (CVDs), and algorithms that can digitize and classify these images have the potential to improve our understanding and treatment of CVDs, especially for underrepresented and underserved populations.
Variants: ECG-Image-Database
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
ECG Digitization | ECG-Digitiser | Combining Hough Transform and Deep … | 2024-10-18 |
Recent papers with results on this dataset: